وظائف مندوب توزيع
٣٩٤ وظائف شاغرة
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>We are seeking a seasoned Enterprise & Solution Architect with strong cross-domain expertise and deep technology capabilities to drive large-scale digital transformation initiatives. The role requires a strategic thinker with hands-on architecture experience across industries such as Telecom, Energy, Public Sector, and BFSI, combined with strong proficiency in modern technology stacks including cloud, web, and advanced Data & AI.</p><p>Key Responsibilities - Define and drive enterprise architecture strategy aligned with business goals across multiple industry domains (Telco, Energy, Public Sector, BFSI). - Lead end-to-end solution architecture for large, complex transformation programs, ensuring scalability, security, and performance. - Design and govern data-driven architectures, including data platforms, analytics ecosystems, and AI/ML solutions. - Architect and implement solutions leveraging Cloud (OCI/AWS/Azure/GCP), Microservices, APIs, and Modern Web Technologies. - Drive adoption of AI capabilities, including Machine Learning, Generative AI, and emerging Agentic AI frameworks for enterprise use cases. - Establish architecture governance, standards, and best practices across programs and portfolios. - Collaborate with business stakeholders to translate requirements into scalable and future-ready architecture blueprints. - Provide technical leadership across delivery teams, ensuring alignment with architecture vision and quality benchmarks. - Evaluate and recommend technology platforms, tools, and vendors aligned with enterprise strategy. - Lead solutioning for RFPs, proposals, and client engagements, including effort estimation and technical strategy.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><strong>Must have Skills :</strong> Architecture (Strong), Cloud architecture (Strong), Technology Architect - Data Architecture (Strong), Technology Architect - Generative AI, Experience: 12+ Years</li><li><strong>Key Skills & Competencies</strong></li><li><strong>Domain Expertise</strong> - Strong understanding of at least two or more domains: o Telecom (BSS/OSS, Digital Channels) o Energy & Utilities o Public Sector (eGov, Smart City) o BFSI (Banking, Payments, Insurance)</li><li><strong>Technology Expertise</strong> - Cloud Platforms: AWS, Azure, or GCP (multi-cloud exposure preferred) - Architecture Patterns: Microservices, Event-driven, API-first, Domain-driven design - Web Technologies: Modern front-end and backend frameworks - Integration: APIs, Middleware, ESB, iPaaS</li><li><strong>Data & AI (Core Focus)</strong> - Strong expertise in Data Architecture (Data Lakes, Data Warehouses, Lakehouse) - Hands-on experience with Machine Learning models and lifecycle management (MLOps) - Experience in Generative AI (LLMs, prompt engineering, RAG architectures) - Exposure to Agentic AI systems (autonomous agents, orchestration frameworks) - Knowledge of data governance, security, and privacy frameworks</li><li><strong>Qualifications</strong> - Bachelor's or Master's degree in Computer Science, Engineering, or related field - Architecture certifications (TOGAF, Cloud Architect certifications) preferred</li><li><strong>Leadership & Behavioral Skills</strong> - Strong stakeholder management and executive communication skills - Ability to operate at both strategic and hands-on levels - Proven experience in leading distributed and cross-functional teams - Strong problem-solving and decision-making capabilities</li></ul><p></p></section>
<p><h4>Energy jobline overview</h4>
<p>Energy Jobline is the largest and fastest growing global energy job board and energy hub. We have an audience reach of over 7 million energy professionals, 400,000+ monthly advertised global energy and engineering jobs, and work with the leading energy companies worldwide.</p>
<p>We focus on the oil & gas, renewables, engineering, power, and nuclear markets as well as emerging technologies in EV, battery, and fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.</p>
<h4>Job summary</h4>
<p>We are seeking an experienced Pre-Commissioning and Commissioning Electrical Supervisor to supervise and execute electrical pre-commissioning and commissioning activities on a major industrial energy development project. The role is focused on field-level supervision, ensuring safe execution of electrical testing, energization, and system handover in accordance with approved procedures, schedules, and HSE requirements.</p>
<p>The successful candidate will work under the direction of the Electrical Superintendent and Engineers, overseeing technicians and contractors while coordinating closely with construction and commissioning teams.</p>
<h4>Key responsibilities</h4>
<h4>Pre-commissioning supervision</h4>
<ul>
<li>Supervise day-to-day electrical pre-commissioning activities in accordance with approved procedures and work packs.</li>
<li>Verify construction completion and readiness for pre-commissioning through site walkdowns and inspections.</li>
<li>Oversee execution of cable meggering, continuity checks, earthing inspections, and visual inspections.</li>
<li>Ensure electrical installations are compliant with drawings, specifications, and applicable standards prior to commissioning.</li>
<li>Identify, record, and report punch list items and construction deficiencies.</li>
</ul>
<h4>Commissioning & testing</h4>
<ul>
<li>Supervise commissioning and functional testing of LV and HV electrical systems as per commissioning plans.</li>
<li>Support controlled energization activities under approved permit-to-work and isolation procedures.</li>
<li>Oversee testing of motors, transformers, switchgear, MCCs, UPS systems, and emergency power systems.</li>
<li>Ensure test results are correctly recorded and submitted in commissioning documentation.</li>
<li>Support troubleshooting of electrical issues during commissioning and initial start-up.</li>
</ul>
<h4>Safety & HSE compliance</h4>
<ul>
<li>Enforce strict compliance with project HSE requirements, electrical safety rules, and energization controls.</li>
<li>Supervise safe implementation of (LOTO) and electrical isolation procedures.</li>
<li>Conduct toolbox talks and on-the-job safety briefings for electrical crews.</li>
<li>Immediately report unsafe conditions, incidents, or near misses to commissioning management.</li>
</ul>
<h4>Workforce & contractor supervision</h4>
<ul>
<li>Supervise electrical technicians, craftsmen, and subcontractor personnel during commissioning activities.</li>
<li>Ensure manpower, tools, and test equipment are available and fit for purpose.</li>
<li>Monitor work quality and productivity, ensuring tasks are completed safely and efficiently.</li>
<li>Coordinate daily work priorities with Engineers and Superintendents.</li>
</ul>
<h4>Coordination & interfaces</h4>
<ul>
<li>Coordinate activities with construction teams to ensure timely handover of systems.</li>
<li>Interface with instrumentation, mechanical, and operations teams for integrated commissioning activities.</li>
<li>Support vendor representatives during specialist commissioning, SATs, and troubleshooting.</li>
<li>Communicate progress, constraints, and technical issues to senior commissioning personnel.</li>
</ul>
<h4>Documentation & reporting</h4>
<ul>
<li>Ensure completion and accuracy of pre-commissioning and commissioning check sheets and test records.</li>
<li>Assist in compilation of completion dossiers and handover packages.</li>
<li>Support punch list tracking and clearance to meet commissioning and handover milestones.</li>
<li>Provide daily updates on work progress and issues to the commissioning team.</li>
</ul>
<h4>Systems covered</h4>
<ul>
<li>LV and HV switchgear</li>
<li>Transformers</li>
<li>Motors and MCC panels</li>
<li>Variable frequency drives (VFDs)</li>
<li>UPS and DC systems</li>
<li>Emergency generators</li>
<li>Lighting, earthing, and lightning protection systems</li>
</ul>
<h4>Qualifications & experience</h4>
<h4>Education</h4>
<ul>
<li>Diploma or technical certificate in electrical engineering or equivalent.</li>
<li>Trade background with strong commissioning experience will also be considered.</li>
</ul>
<h4>Experience</h4>
<ul>
<li>Minimum 8–12 years of experience in electrical works on large industrial or energy projects.</li>
<li>Proven hands-on supervisory experience in pre-commissioning and commissioning activities.</li>
<li>Experience in LNG, oil & gas, petrochemical, or power projects is preferred.</li>
<li>Familiarity with international electrical standards (IEC, IEEE, NFPA).</li>
</ul>
<h4>Skills & competencies</h4>
<ul>
<li>Strong practical and supervisory skills in electrical commissioning activities.</li>
<li>Solid understanding of electrical safety and energization procedures.</li>
<li>Ability to read and interpret electrical drawings and single line diagrams.</li>
<li>Good troubleshooting and problem-solving capabilities.</li>
<li>Effective communication skills in a multicultural site environment.</li>
<li>Basic computer skills for reporting and documentation.</li>
</ul>
<h4>Work conditions</h4>
<ul>
<li>Site-based role in a heavy industrial construction environment.</li>
<li>May involve shift work, extended hours, and weekend coverage during critical commissioning phases.</li>
<li>Ability to work in challenging site and climatic conditions.</li>
</ul>
<p>If you are interested in applying for this job please press the apply button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.</p></p><p></p>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
Job Description<br><p>Must have Skills : Architecture (Strong), Cloud architecture (Strong), Technology Architect - Data Architecture (Strong), Technology Architect - Generative AI,</p><br><p>Experience: 12+ Years Role Overview We are seeking a seasoned Enterprise & Solution Architect with strong cross-domain expertise and deep technology capabilities to drive large-scale digital transformation initiatives. The role requires a strategic thinker with hands-on architecture experience across industries such as Telecom, Energy, Public Sector, and BFSI, combined with strong proficiency in modern technology stacks including cloud, web, and advanced Data & AI. </p><br><p>Key Responsibilities - Define and drive enterprise architecture strategy aligned with business goals across multiple industry domains (Telco, Energy, Public Sector, BFSI). - Lead end-to-end solution architecture for large, complex transformation programs, ensuring scalability, security, and performance. - Design and govern data-driven architectures, including data platforms, analytics ecosystems, and AI/ML solutions. - Architect and implement solutions leveraging Cloud (OCI/AWS/Azure/GCP), Microservices, APIs, and Modern Web Technologies. - Drive adoption of AI capabilities, including Machine Learning, Generative AI, and emerging Agentic AI frameworks for enterprise use cases. - Establish architecture governance, standards, and best practices across programs and portfolios. - Collaborate with business stakeholders to translate requirements into scalable and future-ready architecture blueprints. - Provide technical leadership across delivery teams, ensuring alignment with architecture vision and quality benchmarks. - Evaluate and recommend technology platforms, tools, and vendors aligned with enterprise strategy. - Lead solutioning for RFPs, proposals, and client engagements, including effort estimation and technical strategy.</p><br><p>Key Skills & Competencies Domain Expertise - Strong understanding of at least two or more domains: o Telecom (BSS/OSS, Digital Channels) o Energy & Utilities o Public Sector (eGov, Smart City) o BFSI (Banking, Payments, Insurance) Technology Expertise - Cloud Platforms: AWS, Azure, or GCP (multi-cloud exposure preferred) - Architecture Patterns: Microservices, Event-driven, API-first, Domain-driven design - Web Technologies: Modern front-end and backend frameworks - Integration: APIs, Middleware, ESB, iPaaS Data & AI (Core Focus) - Strong expertise in Data Architecture (Data Lakes, Data Warehouses, Lakehouse) - Hands-on experience with Machine Learning models and lifecycle management (MLOps) - Experience in Generative AI (LLMs, prompt engineering, RAG architectures) - Exposure to Agentic AI systems (autonomous agents, orchestration frameworks) - Knowledge of data governance, security, and privacy frameworks</p><br><p>Qualifications - Bachelor's or Master's degree in Computer Science, Engineering, or related field - Architecture certifications (TOGAF, Cloud Architect certifications) preferred </p><br><p>Leadership & Behavioral Skills - Strong stakeholder management and executive communication skills - Ability to operate at both strategic and hands-on levels - Proven experience in leading distributed and cross-functional teams - Strong problem-solving and decision-making capabilities</p><br><br><br> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5">
Preferred candidate </h2>
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<div class="col is-3 p5" data-automation-id="label_Nationality">
<b>Nationality</b>
</div>
<div class="col is-9 p5" data-automation-id="data_Nationality">
Oman </div>
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<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>The role requires comprehensive deep knowledge across all finance functions including building external relationships with bankers, traders, industry specialists and investors. The candidate will be required to work closely with executive management and the board to drive optimal financial decisions, debt management, business, and funding plans. Primary role to analyze financial data, identifying investment opportunities, and provide strategic guidance to support the organization's financial goals, play a crucial role in optimize the organization's cash flow, manage financial risks, and maximize investment returns. Additionally, the role will lead the development and execution of the organization s insurance strategy, ensuring adequate risk coverage, efficient policy management, and protection of the company s assets, people, and operations. ACCOUNTABILITIES AND RESPONSIBILITIES 1.Main duties include: Lead the development and implementation of financial, debt management, insurance, and investment strategies, processes, and controls to achieve business objectives. Exercise effective and transparent governance of treasury and insurance functions, including ERP integration and H2H banking connectivity. Collaborate with legal, procurement, business development, asset management, operations, and risk teams to provide strategic guidance on funding, investments, risk transfer, and insurance. Seek alignment and approvals from Executive Management on key financial and insurance decisions impacting long-term business growth and protection. Develop and manage strong relationships with banks, insurers, reinsurers, brokers, government bodies, and shareholders to ensure the organization s financial and insurance interests are well served. Technical: Identify various funding sources and optimal structures to maintain access to liquidity including SEF, CF, WC etc Lead the development and implement treasury strategies and policies to optimize cash flow and liquidity management. Lead and develop risk management policies to mitigate various risks inherent within the mining industry. Lead with support of business development team originating and negotiating marketing agreements with international traders. Ability to evaluate creditworthiness of potential partners and counterparts that play significant role in the business including contractors, agents, JVs, etc Monitor and analyze financial market conditions, commodity prices, interest rates, and currency fluctuations to identify potential risks and opportunities. Evaluate and recommend appropriate investment strategies to maximize returns while maintaining acceptable risk levels. Monitor and manage the organization's debt and interest rate exposure, including refinancing and debt restructuring. Conduct financial risk assessments and develop risk mitigation strategies. Monitor and ensure compliance with applicable laws, regulations, and accounting standards related to treasury activities. Provide expert advice and guidance on treasury-related matters to senior management and other departments within the organization. Collaborate with senior management to develop and execute financial strategies that align with the organization's goals and objectives. Monitor and analyze financial performance indicators, such as profitability, cash flow, and return on investment, to identify areas for improvement and develop action plans. Provide strategic financial advice and guidance to senior management, board of directors, and stakeholders on key financial decisions and initiatives. Collaborate with cross-functional teams, including business development, budget, operations, legal, and compliance, to ensure financial strategies and decisions are aligned with organizational objectives and regulatory requirements. Build and maintain relationships with external stakeholders, such as financial institutions, investors, and industry experts, to leverage opportunities and facilitate financial transactions. Prepare timely and accurate treasury reports for management and external stakeholders. Lead and study IPO initiatives in group level or subsidies. Insurance Management Develop and implement the company s insurance strategy, ensuring alignment with OQ group policy, risk appetite, regulatory requirements, and operational needs. Lead periodic review of insurance policies to ensure adequate and cost-effective coverage for all business units and assets. Manage all corporate insurance programs, Lead annual insurance renewals, negotiations, and tendering processes with insurers and brokers. Ensure proper evaluation of asset valuations, risk exposures, and operational hazards to determine accurate insurance requirements. Manage the end-to-end process of insurance claims from incident reporting to settlement. Coordinate with internal departments, insurers, adjusters, and legal representatives to expedite claim resolution and protect company interests. Conduct risk assessments and ensure insurance coverage reflects current and future risks, including CAPEX projects and operational expansions. </p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Minimum Qualifications: BSc in Finance or Accounts (required). MCOM in Finance or Banking (required). MBA is optional. CFA (is a plus minimum Level 3/ passed Level 2).</p><p>Minimum Experience: 10 years with 5 years relevant experience in a similar role a Bank or a corporate treasury covering variety of sectors including commodities. Wide coverage of investment/wholesale banking experience is a must. Experience and track record of having been actively involved in several structured finance including export element transactions including end to end process of the transaction. Experience in having been involved in structuring including but not limited to CF, WC, EBL, RCF, etc. Experience in having managed a project finance facility from start of construction to completion including completion of key milestones such as LRTs. Demonstrate an understanding of local and regional markets and key players. Proven track record in treasury, investments, risk, procurement coordination, and insurance portfolios.</p><p>Skills and Competencies</p><ul><li>Generic Skills: Communication skills, Computer literacy (ERP), Microsoft tools (Excel, PowerPoint, Visio, Word).</li><li>Job Specific Skills: Numerical Abilities, Organisational skills, Teamwork, Customer orientation, Detail-orientation, Initiation, Conceptual Thinking.</li><li>Behavioural Competencies: People Centricity, Integrity, Agility, Collaboration.</li></ul><p></p></section>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.<br> Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives.<br> Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.<br> We are launching a Management Consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems.<br> To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.<br> You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.<br> Important: This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm.<br> If you do not have hands-on project experience at one of the firms listed below, please do not apply.<br> This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.<br> Eligible firms: McKinsey & Company, Boston Consulting Group (BCG), Bain & Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&C), EY-Parthenon, Kearney, and Strategy& (PwC).<br> Who We’re Looking For Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in: Structuring ambiguous client problems into workable analytical plans Building financial models, market analyses, or synthesized findings from messy inputs Producing client-ready deliverables under time pressure Forming and defending recommendations under uncertainty No deep technical background is required — we will onboard you on the lightweight tools involved.<br> What You’ll Do Build realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.<br> Design structured consulting tasks for AI agents — break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more.<br> Define evaluation criteria and quality standards — develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale.<br> This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.<br> Skills & Requirements 3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy& Strong structured problem-solving and hypothesis-driven thinking Ability to translate vague problems into clear analytical steps and deliverables High attention to logical consistency and output quality Independent, self-directed working style Clear written English (B2+) Compensation On this project, contributors can earn up to $60 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>
<p><h4>Description</h4>
<p>Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.</p>
<p>Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives. Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.</p>
<p>We are launching a management consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems. To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.</p>
<p>You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.</p>
<p><strong>Important:</strong> This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm. If you do not have hands-on project experience at one of the firms listed below, please do not apply. This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.</p>
<p><strong>Eligible firms:</strong> McKinsey & Company, Boston Consulting Group (BCG), Bain & Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&C), EY-Parthenon, Kearney, and Strategy& (PwC).</p>
<h4>Who we’re looking for</h4>
<p>Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in:</p>
<ul>
<li>Structuring ambiguous client problems into workable analytical plans</li>
<li>Building financial models, market analyses, or synthesized findings from messy inputs</li>
<li>Producing client-ready deliverables under time pressure</li>
<li>Forming and defending recommendations under uncertainty</li>
</ul>
<p>No deep technical background is required — we will onboard you on the lightweight tools involved.</p>
<h4>What you’ll do</h4>
<ul>
<li>Build realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.</li>
<li>Design structured consulting tasks for AI agents — break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more.</li>
<li>Define evaluation criteria and quality standards — develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale.</li>
</ul>
<p>This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.</p>
<h4>Skills & requirements</h4>
<ul>
<li>3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&</li>
<li>Strong structured problem-solving and hypothesis-driven thinking</li>
<li>Ability to translate vague problems into clear analytical steps and deliverables</li>
<li>High attention to logical consistency and output quality</li>
<li>Independent, self-directed working style</li>
<li>Clear written English (B2+)</li>
</ul>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $60 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
<p><h4>Description</h4>
<p>Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.</p>
<p>Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives. Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.</p>
<p>We are launching a management consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems. To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.</p>
<p>You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.</p>
<p><strong>Important:</strong> This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm. If you do not have hands-on project experience at one of the firms listed below, please do not apply. This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.</p>
<p><strong>Eligible firms:</strong> McKinsey & Company, Boston Consulting Group (BCG), Bain & Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&C), EY-Parthenon, Kearney, and Strategy& (PwC).</p>
<h4>Who we’re looking for</h4>
<p>Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in:</p>
<ul>
<li>Structuring ambiguous client problems into workable analytical plans</li>
<li>Building financial models, market analyses, or synthesized findings from messy inputs</li>
<li>Producing client-ready deliverables under time pressure</li>
<li>Forming and defending recommendations under uncertainty</li>
</ul>
<p>No deep technical background is required — we will onboard you on the lightweight tools involved.</p>
<h4>What you’ll do</h4>
<ul>
<li>Build realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.</li>
<li>Design structured consulting tasks for AI agents — break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more.</li>
<li>Define evaluation criteria and quality standards — develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale.</li>
</ul>
<p>This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.</p>
<h4>Skills & requirements</h4>
<ul>
<li>3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&</li>
<li>Strong structured problem-solving and hypothesis-driven thinking</li>
<li>Ability to translate vague problems into clear analytical steps and deliverables</li>
<li>High attention to logical consistency and output quality</li>
<li>Independent, self-directed working style</li>
<li>Clear written English (B2+)</li>
</ul>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $60 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.<br> Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives.<br> Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.<br> We are launching a Management Consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems.<br> To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.<br> You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.<br> Important: This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm.<br> If you do not have hands-on project experience at one of the firms listed below, please do not apply.<br> This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.<br> Eligible firms: McKinsey & Company, Boston Consulting Group (BCG), Bain & Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&C), EY-Parthenon, Kearney, and Strategy& (PwC).<br> Who We’re Looking For Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in: Structuring ambiguous client problems into workable analytical plans Building financial models, market analyses, or synthesized findings from messy inputs Producing client-ready deliverables under time pressure Forming and defending recommendations under uncertainty No deep technical background is required — we will onboard you on the lightweight tools involved.<br> What You’ll Do Build realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.<br> Design structured consulting tasks for AI agents — break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more.<br> Define evaluation criteria and quality standards — develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale.<br> This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.<br> Skills & Requirements 3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy& Strong structured problem-solving and hypothesis-driven thinking Ability to translate vague problems into clear analytical steps and deliverables High attention to logical consistency and output quality Independent, self-directed working style Clear written English (B2+) Compensation On this project, contributors can earn up to $60 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.<br> Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives.<br> Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.<br> We are launching a Management Consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems.<br> To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.<br> You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.<br> Important: This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm.<br> If you do not have hands-on project experience at one of the firms listed below, please do not apply.<br> This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.<br> Eligible firms: McKinsey & Company, Boston Consulting Group (BCG), Bain & Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&C), EY-Parthenon, Kearney, and Strategy& (PwC).<br> Who We’re Looking For Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in: Structuring ambiguous client problems into workable analytical plans Building financial models, market analyses, or synthesized findings from messy inputs Producing client-ready deliverables under time pressure Forming and defending recommendations under uncertainty No deep technical background is required — we will onboard you on the lightweight tools involved.<br> What You’ll Do Build realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.<br> Design structured consulting tasks for AI agents — break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more.<br> Define evaluation criteria and quality standards — develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale.<br> This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.<br> Skills & Requirements 3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy& Strong structured problem-solving and hypothesis-driven thinking Ability to translate vague problems into clear analytical steps and deliverables High attention to logical consistency and output quality Independent, self-directed working style Clear written English (B2+) Compensation On this project, contributors can earn up to $60 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>
<p><h4>Description</h4>
<p>Mindrift is looking for highly skilled senior Python data scraping engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.</p>
<p>In this role, as an AI pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p>
<p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.</p>
<h4>What we do</h4>
<p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p>
<p>This is a freelance role for a Tendem project. As a senior Python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p>
<h4>Key responsibilities:</h4>
<li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li>
<li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li>
<li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li>
<li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li>
<li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li>
<h4>Requirements:</h4>
<li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li>
<li>Bachelor’s or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li>
<li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</li>
<li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li>
<li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li>
<li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li>
<li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale.</li>
<li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows.</li>
<li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks.</li>
<li>Strong attention to detail and commitment to data accuracy.</li>
<li>Self-directed work ethic with ability to troubleshoot independently.</li>
<li>A link to GitHub is a plus.</li>
<li>English proficiency: Upper-intermediate (B2) or above (required).</li>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
<p><h4>Description</h4>
<p>Mindrift is looking for highly skilled senior python data scraping engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.</p>
<p>In this role, as an AI pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p>
<p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p>
<h4>What we do</h4>
<p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p>
<p>This is a freelance role for a Tendem project. As a senior python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p>
<h4>Key responsibilities:</h4>
<li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li>
<li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li>
<li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li>
<li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li>
<li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li>
<h4>Requirements:</h4>
<li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li>
<li>Bachelor’s or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li>
<li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</li>
<li>Strong experience in python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li>
<li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li>
<li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li>
<li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale.</li>
<li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows.</li>
<li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks.</li>
<li>Strong attention to detail and commitment to data accuracy.</li>
<li>Self-directed work ethic with ability to troubleshoot independently.</li>
<li>A link to GitHub is a plus.</li>
<li>English proficiency: upper-intermediate (B2) or above (required).</li>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
<p><h4>Description</h4>
<p>Mindrift is looking for highly skilled senior Python data scraping engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.</p>
<p>In this role, as an AI pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p>
<p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p>
<h4>What we do</h4>
<p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p>
<p>This is a freelance role for a Tendem project. As a senior Python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p>
<h4>Key responsibilities:</h4>
<ul>
<li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li>
<li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li>
<li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li>
<li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li>
<li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li>
</ul>
<h4>Requirements:</h4>
<ul>
<li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li>
<li>Bachelor’s or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li>
<li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</li>
<li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li>
<li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li>
<li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li>
<li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale.</li>
<li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows.</li>
<li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks.</li>
<li>Strong attention to detail and commitment to data accuracy.</li>
<li>Self-directed work ethic with ability to troubleshoot independently.</li>
<li>A link to GitHub is a plus.</li>
<li>English proficiency: Upper-intermediate (B2) or above (required).</li>
</ul>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
<p><h4>Description</h4>
<p>Mindrift is looking for highly skilled senior Python data scraping engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.</p>
<p>In this role, as an AI pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p>
<p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.</p>
<h4>What we do</h4>
<p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p>
<p>This is a freelance role for a Tendem project. As a senior Python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p>
<h4>Key responsibilities:</h4>
<li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li>
<li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li>
<li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li>
<li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li>
<li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li>
<h4>Requirements:</h4>
<li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li>
<li>Bachelor’s or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li>
<li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</li>
<li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li>
<li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li>
<li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li>
<li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale.</li>
<li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows.</li>
<li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks.</li>
<li>Strong attention to detail and commitment to data accuracy.</li>
<li>Self-directed work ethic with ability to troubleshoot independently.</li>
<li>A link to GitHub is a plus.</li>
<li>English proficiency: Upper-intermediate (B2) or above (required).</li>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
<p><h4>Description</h4>
<p>Mindrift is looking for highly skilled senior python data scraping engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.</p>
<p>In this role, as an AI pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p>
<p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p>
<h4>What we do</h4>
<p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p>
<p>This is a freelance role for a Tendem project. As a senior python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p>
<h4>Key responsibilities:</h4>
<ul>
<li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li>
<li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li>
<li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li>
<li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li>
<li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li>
</ul>
<h4>Requirements:</h4>
<ul>
<li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li>
<li>Bachelor’s or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li>
<li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</li>
<li>Strong experience in python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li>
<li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li>
<li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li>
<li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale.</li>
<li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows.</li>
<li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks.</li>
<li>Strong attention to detail and commitment to data accuracy.</li>
<li>Self-directed work ethic with ability to troubleshoot independently.</li>
<li>A link to GitHub is a plus.</li>
<li>English proficiency: upper-intermediate (B2) or above (required).</li>
</ul>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
<p><h4>Description</h4>
<p>Mindrift is looking for highly skilled senior python data scraping engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.</p>
<p>In this role, as an AI pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p>
<p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p>
<h4>What we do</h4>
<p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p>
<p>This is a freelance role for a Tendem project. As a senior python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p>
<h4>Key responsibilities:</h4>
<ul>
<li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li>
<li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li>
<li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li>
<li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li>
<li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li>
</ul>
<h4>Requirements:</h4>
<ul>
<li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li>
<li>Bachelor’s or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li>
<li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</li>
<li>Strong experience in python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li>
<li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li>
<li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li>
<li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale.</li>
<li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows.</li>
<li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks.</li>
<li>Strong attention to detail and commitment to data accuracy.</li>
<li>Self-directed work ethic with ability to troubleshoot independently.</li>
<li>A link to GitHub is a plus.</li>
<li>English proficiency: upper-intermediate (B2) or above (required).</li>
</ul>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
<p><h4>Mindrift is looking for highly skilled senior python data scraping engineers to join the tendem project and drive specialized data scraping workflows within our hybrid AI + human system.</h4>
<p>In this role, as an AI pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p>
<p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p>
<h4>What we do</h4>
<p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p>
<p>This is a freelance role for a Tendem project. As a senior python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p>
<h4>Key responsibilities:</h4>
<ul>
<li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li>
<li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li>
<li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li>
<li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li>
<li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li>
</ul>
<h4>Requirements:</h4>
<ul>
<li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li>
<li>Bachelor’s or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li>
<li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</li>
<li>Strong experience in python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li>
<li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li>
<li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li>
<li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale.</li>
<li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows.</li>
<li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks.</li>
<li>Strong attention to detail and commitment to data accuracy.</li>
<li>Self-directed work ethic with ability to troubleshoot independently.</li>
<li>English proficiency: Upper-intermediate (B2) or above (required).</li>
</ul>
<p>A link to GitHub is a plus.</p>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
<p><h4>Mindrift is looking for highly skilled senior python data scraping engineers to join the tendem project and drive specialized data scraping workflows within our hybrid AI + human system.</h4>
<p>In this role, as an AI pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p>
<p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p>
<h4>What we do</h4>
<p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p>
<p>This is a freelance role for a Tendem project. As a senior python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p>
<h4>Key responsibilities:</h4>
<ul>
<li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li>
<li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li>
<li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li>
<li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li>
<li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li>
</ul>
<h4>Requirements:</h4>
<ul>
<li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li>
<li>Bachelor’s or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li>
<li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</li>
<li>Strong experience in python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li>
<li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li>
<li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li>
<li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale.</li>
<li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows.</li>
<li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks.</li>
<li>Strong attention to detail and commitment to data accuracy.</li>
<li>Self-directed work ethic with ability to troubleshoot independently.</li>
<li>English proficiency: Upper-intermediate (B2) or above (required).</li>
</ul>
<p>A link to GitHub is a plus.</p>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<p>Ingénieur-e Intégration & Vérification Expérimenté-e – Systèmes de Navigation Aéronautique F/H</p><br><br><p>CDI</p><br><br><p>Ingénieur & Cadre</p><br><br><p>Temps complet</p><br><br><p>Rejoignez Safran Electronics & Defense et contribuez au développement de systèmes de navigation de haute technologie, essentiels au pilotage et à la sécurité des aéronefs.<br>________________________________________<br>Votre futur environnement<br>Au sein du CIPN (Centre d'Ingénierie des Produits de Navigation), vous intégrerez une équipe jeune, dynamique et solidaire, en charge du développement de centrales inertielles pour l'aéronautique.<br>________________________________________<br>Ce que vous ferez :<br>Votre rôle sera de contribuer à l'Intégration et la Vérification d'un équipement aéronautique critique, et consistera à :<br>• Intégrer les sous-ensembles produit.<br>• Caractériser les moyens d'essais, valider la précision des mesures et valider les protocoles de test.<br>• Concevoir les scénarios de test à partir des exigences système et clients.<br>• Réaliser les campagnes d'essais en laboratoire ou en véhicule et assurer le suivi des configurations.<br>• Analyser les données et se prononcer sur la conformité du produit.<br>• Analyser les problèmes produit et suivre l'implémentation des correctifs.<br>• Rédiger les dossiers de justification et de performance du produit.<br>• Assurer la traçabilité complète depuis les spécifications jusqu'aux résultats des tests.<br>• Participer à l'amélioration continue et l'outillage pour faire gagner l'équipe en efficacité<br>Vous ne serez jamais seul·e face à ces sujets : sur chacune de vos activités, vous serez accompagné·e par l'équipe et par des experts techniques.<br>________________________________________<br>Votre mission :<br>Vous aurez l'opportunité d'appréhender le fonctionnement du produit et la physique associée. Vous aurez l'occasion de piloter des instrumentations et réaliser des études statistiques pour estimer les performances des moyens et du produit. Vous adopterez une démarche d'analyse scientifique pour développer des protocoles d'essai complexes, en utilisant notamment des outils de traitement du signal. Vous serez également confronté à des problématiques de temps réel : précision de la datation des mesures, caractérisation des retards, connaissance de l'implémentation temps réel des algorithmes du produit.</p><br><br><p>Ce que nous offrons :<br>• Un environnement de travail collaboratif et stimulant, où vous serez accompagné.e par une équipe soudée.<br>• L'opportunité d'acquérir des bases techniques et méthodologiques solides en intégration, vérification et certification aéronautique.<br>• L'occasion d'approfondir votre maîtrise des essais, de l'instrumentation et des systèmes embarqués.<br>• La possibilité de découvrir d'autres métiers au sein du projet, comme la conception système, l'automatique et le logiciel.<br>En plus d'être un poste passionnant et dynamique, il offre de très belles perspectives d'évolution à moyen/long terme, comme le développement du métier Intégration - Vérification, l'attribution d'un rôle de responsable technique ou d'activité voire d'expert.e, le pilotage d'équipe ou la prise de responsabilités hiérarchiques ou fonctionnelles.<br>Safran Electronics & Defense Eragny est un site de recherche & développement accessible en transport à 50 min de Paris Gare du Nord / Charles de Gaulle – Etoile / Paris Saint Lazare, situé à proximité de l'Oise et de l'île de loisirs de Cergy-Pontoise, proche du parc naturel régional du vexin français et offrant de multiples possibilités d'activités sportives pour s'aérer l'esprit.<br>Rejoignez-nous dès maintenant et participez à façonner l'avenir de l'aéronautique avec Safran !<br>Navigation inertielle : Comment garder le cap ! (youtube.com)</p><br><br><p>Profil recherché :<br>Vous êtes ingénieur.e expérimenté.e, avec au moins 5 ans d'expérience et une passion pour l'innovation et la technologie. Vous êtes rigoureux.se, autonome et motivé.e à relever des défis passionnants et vous projetez dans le métier d'ingénieur.e système spécialisé en recherche expérimentale et développement de produit.<br>Compétences techniques recherchées :<br>Vous avez idéalement des compétences ou une expérience dans les domaines suivants :<br>• Data science et traitement de signal (Matlab, Python)<br>• Informatique industrielle (TestStand, VeriStand, LabVIEW, protocoles de communication ARINC/RS/Ethernet/1553, analogique/numérique, logique & numération …)<br>• Instrumentation et recherche expérimentale<br>• Systèmes automatisés, systèmes embarqués et logiciels temps réel<br>• Spécification des besoins, rédaction de plans, traçabilité et procédures de test<br>Seraient des atouts différenciants :<br>• Ingénierie des lignes de produits appliqués à l'Intégration-Vérification.<br>• Normes aéronautiques critiques (DO178, DO254, DO334) et certification (ARP4754A/B).<br>• Transformation digitale et automatisation : supervision de solutions innoventes, automatisation de tests complexes, Big Data, intégration continue.<br>• Développement logiciel avancé (Python, C/C++, API…) pour l'élaboration de scripts ou agents IA.</p><br><br><br> </div>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>