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<p>In charge of Revenue, Reservations and Operator department.</p><br>Revenue Management & Pricing<ul><li><p>Monitor daily room rates and occupancy levels.</p><br></li><li><p>Update room pricing across distribution channels (OTA, GDS, hotel website).</p><br></li><li><p>Assist with dynamic pricing strategies based on demand.</p><br></li><li><p>Manage rate plans, packages, and promotional offers.</p><br></li><li><p>Ensure rate parity across booking channels.</p><br></li></ul>Forecasting & Reporting<ul><li><p>Prepare daily, weekly, and monthly revenue reports.</p><br></li><li><p>Analyze key performance indicators (KPIs), including:</p><br><ul><li><p>ADR (Average Daily Rate)</p><br></li><li><p>Occupancy %</p><br></li><li><p>RevPAR (Revenue Per Available Room)</p><br></li><li><p>TRevPAR (Total Revenue Per Available Room)</p><br></li></ul></li><li><p>Assist in demand forecasting and budgeting.</p><br></li><li><p>Track pace reports and pickup trends.</p><br></li></ul>Market & Competitor Analysis<ul><li><p>Monitor competitor hotel pricing and promotions.</p><br></li><li><p>Analyze market demand, local events, and seasonal trends.</p><br></li><li><p>Review STR reports and benchmarking data when available.</p><br></li><li><p>Identify opportunities to increase market share.</p><br></li></ul>Distribution Channel Management<ul><li><p>Support management of online travel agencies (OTAs) such as Booking.com and Expedia Group.</p><br></li><li><p>Monitor channel performance and booking production.</p><br></li><li><p>Help optimize inventory allocation across channels.</p><br></li><li><p>Ensure room availability and restrictions are correctly loaded.</p><br></li></ul>Reservation & Inventory Control<ul><li><p>Review booking patterns and cancellations.</p><br></li><li><p>Monitor overbooking levels and displacement analysis.</p><br></li><li><p>Assist with room inventory management.</p><br></li><li><p>Manage restrictions such as:</p><br><ul><li><p>Minimum Length of Stay (MinLOS)</p><br></li><li><p>Closed to Arrival (CTA)</p><br></li><li><p>Closed to Departure (CTD)</p><br></li></ul></li></ul>System Administration<ul><li><p>Maintain revenue management systems (RMS) and property management systems (PMS).</p><br></li><li><p>Verify accuracy of rates, inventory, and forecasting data.</p><br></li><li><p>Generate system reports and troubleshoot data discrepancies.</p><br></li></ul>Cross-Department Collaboration<ul><li><p>Work closely with:</p><br><ul><li><p>Front Office</p><br></li><li><p>Reservations</p><br></li><li><p>Sales</p><br></li><li><p>Marketing</p><br></li><li><p>Finance</p><br></li></ul></li><li><p>Support group pricing decisions and contract evaluations.</p><br></li><li><p>Communicate revenue strategies to operational teams.</p><br></li></ul>Common Daily Tasks<ol><li><p>Review previous day's performance.</p><br></li><li><p>Check occupancy, ADR, and RevPAR.</p><br></li><li><p>Analyze pickup and cancellation reports.</p><br></li><li><p>Review competitor rates.</p><br></li><li><p>Adjust pricing and inventory if needed.</p><br></li><li><p>Monitor OTA and direct booking channels.</p><br></li><li><p>Prepare management reports.</p><br></li><li><p>Attend revenue or commercial meetings.</p><br></li></ol>Key Skills Required<ul><li><p>Strong analytical and numerical skills.</p><br></li><li><p>Advanced Microsoft Excel.</p><br></li><li><p>Revenue management principles.</p><br></li><li><p>Data interpretation and forecasting.</p><br></li><li><p>Attention to detail.</p><br></li><li><p>Communication and presentation skills.</p><br></li><li><p>Experience with hotel systems such as:</p><br><ul><li><p>Opera PMS</p><br></li><li><p>IDeaS Revenue Solutions</p><br></li><li><p>Duetto</p><br></li><li><p>RateGain</p><br></li></ul></li></ul> </div>
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<span>Mindrift is looking for skilled Mobile App Developers (React Native, Flutter, Swift, or Kotlin) to join the Tendem project (https://tendem.<br>ai/) and build native and cross-platform mobile applications within our hybrid AI + human environment.<br> In this role, as an AI Pilot – that's how we refer to this position at Mindrift – you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide mobile engineering expertise, platform-specific judgment, and quality control to ensure apps are stable, performant, and ready for real users on real devices.<br> This part-time remote opportunity is ideal for professionals with hands-on experience shipping iOS and/or Android apps, working with platform APIs, and handling the full mobile development lifecycle.<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> About the Role This is a freelance role for a Tendem project.<br> As a Mobile App Developer, you'll design, build, and refine mobile applications across categories such as utilities, fitness/wellness, games, productivity, delivery, and content apps — for iOS, Android, or both, using native or cross-platform frameworks.<br> Key Responsibilities Build mobile applications using React Native, Flutter, Swift (iOS), or Kotlin (Android).<br> Implement responsive mobile UIs that follow platform conventions (iOS HIG, Material Design).<br> Integrate native device features (camera, push notifications, location, storage, biometrics).<br> Connect apps to backend APIs, handle offline state, caching, and synchronization.<br> Implement monetization features where required (in-app purchases, ads, subscriptions).<br> Evaluate AI-generated mobile code and refactor it for correctness, performance, battery use, and maintainability.<br> Debug platform-specific issues and prepare builds for distribution (TestFlight, Play Console).<br> Requirements and benefits At least 3 years of relevant experience in mobile app development (required).<br> Bachelor's or Master's Degree in Computer Science, Engineering, Information Technology, or related technical fields is a plus.<br> Candidates should have a strong foundation in mobile application development, platform-specific UI/UX patterns, and building stable, high-quality mobile experiences for iOS and Android.<br> We are looking for specialists who can confidently work with native or cross-platform frameworks, integrate device APIs and backend services, and refine AI-assisted output into production-ready mobile applications.<br> Strong attention to detail, performance awareness, and the ability to work independently are essential.<br> Hands-on experience with at least one of: React Native, Flutter, Swift/SwiftUI (iOS), or Kotlin/Jetpack Compose (Android).<br> Solid understanding of mobile UI patterns, navigation, state management, and platform guidelines.<br> Experience integrating REST APIs, handling async data, and managing local storage.<br> Familiarity with native device APIs (notifications, camera, location, storage, biometrics).<br> Experience with mobile build tools, code signing, and submission to App Store / Google Play.<br> Experience implementing in-app purchases, ads, or subscriptions is a plus.<br> Familiarity with backend services such as Firebase, Supabase, or similar is a plus.<br> Strong attention to detail and commitment to performance, stability, and platform polish.<br> Self-directed work ethic with the ability to ship complete mobile features independently.<br> Portfolio of shipped mobile apps (required, with App Store / Google Play links preferred).<br> 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 $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> Why this freelance opportunity might be a great fit for you?<br> Work fully remote on your own schedule with just a laptop and stable internet connection.<br> Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field.<br> Participate in performance-based bonus programs that reward high-quality work and consistent delivery.<br></span> </div>
Mindrift is looking for skilled Mobile App Developers (React Native, Flutter, Swift, or Kotlin) to join the Tendem project (https://tendem.ai/) and build native and cross-platform mobile applications within our hybrid AI + human environment. In this role, as an AI Pilot - that's how we refer to this position at Mindrift - you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide mobile engineering expertise, platform-specific judgment, and quality control to ensure apps are stable, performant, and ready for real users on real devices. This part-time remote opportunity is ideal for professionals with hands-on experience shipping i OS and/or Android apps, working with platform APIs, and handling the full mobile development lifecycle.<br><br>What We Do<br><br>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.<br><br>About The Role<br><br>This is a freelance role for a Tendem project. As a Mobile App Developer, you'll design, build, and refine mobile applications across categories such as utilities, fitness/wellness, games, productivity, delivery, and content apps — for i OS, Android, or both, using native or cross-platform frameworks.<br><br>Key Responsibilities<br><br>Build mobile applications using React Native, Flutter, Swift (i OS), or Kotlin (Android) Implement responsive mobile UIs that follow platform conventions (i OS HIG, Material Design) Integrate native device features (camera, push notifications, location, storage, biometrics) Connect apps to backend APIs, handle offline state, caching, and synchronization Implement monetization features where required (in-app purchases, ads, subscriptions) Evaluate AI-generated mobile code and refactor it for correctness, performance, battery use, and maintainability Debug platform-specific issues and prepare builds for distribution (Test Flight, Play Console)<br><br>Requirements And Benefits<br><br>At least 3 years of relevant experience in mobile app development (required) Bachelor's or Master's Degree in Computer Science, Engineering, Information Technology, or related technical fields is a plus Candidates should have a strong foundation in mobile application development, platform-specific UI/UX patterns, and building stable, high-quality mobile experiences for i OS and Android. We are looking for specialists who can confidently work with native or cross-platform frameworks, integrate device APIs and backend services, and refine AI-assisted output into production-ready mobile applications. Strong attention to detail, performance awareness, and the ability to work independently are essential Hands-on experience with at least one of: React Native, Flutter, Swift/Swift UI (i OS), or Kotlin/Jetpack Compose (Android) Solid understanding of mobile UI patterns, navigation, state management, and platform guidelines Experience integrating REST APIs, handling async data, and managing local storage Familiarity with native device APIs (notifications, camera, location, storage, biometrics) Experience with mobile build tools, code signing, and submission to App Store / Google Play Experience implementing in-app purchases, ads, or subscriptions is a plus Familiarity with backend services such as Firebase, Supabase, or similar is a plus Strong attention to detail and commitment to performance, stability, and platform polish Self-directed work ethic with the ability to ship complete mobile features independently Portfolio of shipped mobile apps (required, with App Store / Google Play links preferred) English proficiency: Upper-intermediate (B2) or above (required)<br><br>Project time expectations <br><br>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.<br><br>Compensation<br><br>On this project, contributors can earn up to $60 per hour equivalent, depending on their level and pace of contribution.<br><br>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.<br><br>Why this freelance opportunity might be a great fit for you? <br><br>Work fully remote on your own schedule with just a laptop and stable internet connection. Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field Participate in performance-based bonus programs that reward high-quality work and consistent delivery
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<span>Mindrift is looking for skilled Mobile App Developers (React Native, Flutter, Swift, or Kotlin) to join the Tendem project (https://tendem.<br>ai/) and build native and cross-platform mobile applications within our hybrid AI + human environment.<br> In this role, as an AI Pilot – that's how we refer to this position at Mindrift – you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide mobile engineering expertise, platform-specific judgment, and quality control to ensure apps are stable, performant, and ready for real users on real devices.<br> This part-time remote opportunity is ideal for professionals with hands-on experience shipping iOS and/or Android apps, working with platform APIs, and handling the full mobile development lifecycle.<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> About the Role This is a freelance role for a Tendem project.<br> As a Mobile App Developer, you'll design, build, and refine mobile applications across categories such as utilities, fitness/wellness, games, productivity, delivery, and content apps — for iOS, Android, or both, using native or cross-platform frameworks.<br> Key Responsibilities Build mobile applications using React Native, Flutter, Swift (iOS), or Kotlin (Android).<br> Implement responsive mobile UIs that follow platform conventions (iOS HIG, Material Design).<br> Integrate native device features (camera, push notifications, location, storage, biometrics).<br> Connect apps to backend APIs, handle offline state, caching, and synchronization.<br> Implement monetization features where required (in-app purchases, ads, subscriptions).<br> Evaluate AI-generated mobile code and refactor it for correctness, performance, battery use, and maintainability.<br> Debug platform-specific issues and prepare builds for distribution (TestFlight, Play Console).<br> Requirements and benefits At least 3 years of relevant experience in mobile app development (required).<br> Bachelor's or Master's Degree in Computer Science, Engineering, Information Technology, or related technical fields is a plus.<br> Candidates should have a strong foundation in mobile application development, platform-specific UI/UX patterns, and building stable, high-quality mobile experiences for iOS and Android.<br> We are looking for specialists who can confidently work with native or cross-platform frameworks, integrate device APIs and backend services, and refine AI-assisted output into production-ready mobile applications.<br> Strong attention to detail, performance awareness, and the ability to work independently are essential.<br> Hands-on experience with at least one of: React Native, Flutter, Swift/SwiftUI (iOS), or Kotlin/Jetpack Compose (Android).<br> Solid understanding of mobile UI patterns, navigation, state management, and platform guidelines.<br> Experience integrating REST APIs, handling async data, and managing local storage.<br> Familiarity with native device APIs (notifications, camera, location, storage, biometrics).<br> Experience with mobile build tools, code signing, and submission to App Store / Google Play.<br> Experience implementing in-app purchases, ads, or subscriptions is a plus.<br> Familiarity with backend services such as Firebase, Supabase, or similar is a plus.<br> Strong attention to detail and commitment to performance, stability, and platform polish.<br> Self-directed work ethic with the ability to ship complete mobile features independently.<br> Portfolio of shipped mobile apps (required, with App Store / Google Play links preferred).<br> 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 $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> Why this freelance opportunity might be a great fit for you?<br> Work fully remote on your own schedule with just a laptop and stable internet connection.<br> Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field.<br> Participate in performance-based bonus programs that reward high-quality work and consistent delivery.<br></span> </div>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>Identifies prospective accounts and establishes goals for Key Accounts by analysing historical data and other statistical information and also by conducting accounts interviews and preparing customer action plans Fairs (domestic/International) : Attends fairs in order to represent the Hotel and/or region within a both according to the action plan within the Business Plan of the Hotel. The fairs are attended in co-ordination with the Regional or Corp. Sales Domestic Market: Priority in sales activities are to be given to this market, for the local travel trade as well as for the corporate accounts nternational Market: Has to be worked on in close co-ordination with the General Manager according to internal regulations Rooms: Regarding the availability and the co-ordination of rooms for high booking periods the final approval of availability is taken always by the Hotel operation s management. Market Mix: Emphasis on right market mix to maintain the quality of the product and to minimize market dependence on long term Co-ordination: Regular meetings with the hotel operation (Rooms Division, Reservation and Food & Beverage) have to be held to exchange information and problem solving Reduces administrative work to achieve a minimum of 5-7 personal sales/courtesy calls per day as well as 10 telephone sales/courtesy calls per day, without affecting promptness of flow of correspondence to accounts Ensures that all incoming correspondence (inquiries, requests, offers, confirmations, etc.) are attended to and replied in due time Reporting: Prepares and transmits the Call Reports on a weekly basis to the supervisor and/or the General Manager. Establishes a Monthly Report which includes the summary of the past activities, prospection and trends, and analyses competitor s sales and promotion efforts, forecast for all sales activities & production/conversion figures. Attends once a month hotel s Sales/Rooms Division and Credit meeting Business Plan / Budget: Targets to achieve key figures from key accounts / key markets through preparation and execution of proper action plan for his/her field of responsibility Accounts Receivable: Is co-responsible for the settlement of outstanding, respectively the follow up on a regular basis towards local Travel Trade to match credit policy in close co-ordination with the Credit Manager / Rooms Division Establishes and signs contracts with local In-bound Operators/Travel Agents /Corporate considering the official Rate Policy in co-ordination with the General Manager Conducts rate market surveys to advise management of actual market trends Establishes and co-signs contracts with Inter-national Tour Operators/Corporate respecting the Rate Policy and Contract Policy together with the General Manager. He/she conducts prior discussions with the partners to prepare final contracting Special deals (out of guidelines and rate policy) must in any case be discussed, co-ordinated and approved prior to offer with the hotel s management Ensures all staff are thoroughly familiar with the Hotel s emergency procedures and is in a state of preparedness for any emergency which may occur Execution of regular technical/skills training. Is responsible for setting up and maintaining ongoing training programs in the department in conjunction with the Director, People & Culture and Manager, People Development. Maintains a monthly overview of vacation- and public holiday balance of all his/her staff and delivers a monthly consolidated summary to the Director, People & Culture. He/she is familiar with all related company documentation and especially with the relevant Operational Standards Manual for his/her field of responsibility Assumes responsibility of Duty Manager when scheduled to do so. Other duties as assigned Electronic Distribution Systems are up-dated by the hotel operation on regular basis Assist in Task Force Teams for new openings Carry out any other reasonable task (which may not be stated here) as requested</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2>Qualifications</h2><p>Masters Degree in Hospitality or Diploma in Vocational Hospitality.</p><p></p></section>
Please submit your CV in English and indicate your level of English proficiency.<br><br>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<br><br>What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br><br>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<br><br>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<br><br>What This Is NOT<br><br>Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate<br><br>What We Look For<br><br>5+ years in software development Core stack: Python (Fast API), Java Script/Type Script (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+<br><br>Why this is hard <br><br>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br><br>How It Works<br><br>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid<br><br>Compensation<br><br>Up to $50/hr equivalent, depending on level and pace. Tasks are estimated at :20 hours each; you set your own schedule.
Job Summary The Agentic Solution Architect will be responsible for designing, leading, and delivering end-to-end intelligent automation solutions powered by AI Agents, RPA (Robotic Process Automation), and orchestration frameworks. This role focuses on building scalable multi-agent architectures, integrating enterprise systems, and driving the adoption of Agentic Automation across business functions to improve efficiency, decision-making, and operational intelligence.<br><br>Job Responsibilities Agentic Architecture & Solution Design:Solution Architecture Development: Design end-to-end agentic automation architectures integrating AI agents, RPA bots, APIs, enterprise platforms, and orchestration frameworks Multi-Agent Framework Design: Lead the development of scalable multi-agent orchestration frameworks to support complex business processes and intelligent workflow automation AI & Intelligent Automation Implementation:AI-Driven Automation: Architect intelligent automation solutions leveraging LLMs, AI agents, decision engines, and machine learning capabilities to improve business operations and efficiency Workflow Optimization: Design intelligent workflows and automation strategies that reduce manual effort, optimize operational processes, and enhance service delivery Enterprise Integration & Technology Enablement System Integration Architecture: Architect integrations with enterprise systems including SAP, APIs, databases, cloud platforms, and third-party applications to enable seamless automation ecosystems. Technology Standardization: Define technical standards, architecture blueprints, development frameworks, and best practices for agentic automation and intelligent systems. Technical Leadership & Delivery Oversight Development Guidance: Provide technical leadership and guidance to development teams implementing solutions using UiPath, AI Center, Maestro, orchestration platforms, and related technologies Solution Validation: Conduct technical design reviews, code reviews, architecture validations, and quality assurance activities to ensure solution reliability and scalability Governance, Security & Compliance Automation Governance: Ensure all automation and AI solutions comply with organizational governance standards, cybersecurity requirements, and data privacy regulations Risk & Security Management: Identify solution risks, scalability concerns, and security vulnerabilities while implementing mitigation strategies and controls.<br><br>Qualifications Bachelor's Degree in Computer Science or any related field Minimum 5–7 years of experience in solution architecture, intelligent automation, software engineering, or enterprise technology delivery. Strong hands-on experience in RPA platforms, preferably UiPath, enterprise automation frameworks, and workflow orchestration technologies. Proven experience designing scalable enterprise architectures, AI integrations, APIs, and intelligent automation ecosystems. Exposure to AI/ML technologies, Large Language Models (LLMs), prompt engineering, and AI-enabled enterprise solutions is highly preferred. Experience leading technical teams, solution delivery initiatives, or enterprise transformation projects.<br><br>Job Knowledge & Skills:Agentic AI & Multi-Agent Systems: Strong understanding of Agentic AI concepts, autonomous agents, orchestration frameworks, and intelligent workflow architectures. RPA & Intelligent Automation: Expertise in UiPath and enterprise automation technologies including workflow design, orchestration, and process automation strategies Enterprise Integration Architecture: Strong knowledge of APIs, REST services, SAP integrations, databases, middleware, and enterprise platform connectivity. AI & LLM Technologies: Familiarity with AI/ML frameworks, LLMs, prompt engineering, intelligent decision systems, and AI-enabled enterprise solutions. Technical Leadership & Communication: Excellent analytical, technical leadership, stakeholder management, and communication skills with the ability to drive innovation and collaboration.
Please submit your CV in English and indicate your level of English proficiency.<br><br>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves:<br><br>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br><br>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<br><br>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<br><br>What this is NOT:<br><br>Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate<br><br>What we look for:<br><br>8+ years in software development Core stack: Python (Fast API), Java Script/Type Script (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+<br><br>Why this is hard:<br><br>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br><br>How It Works<br><br>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Effort estimate<br><br>Tasks for this project are estimated to take 30 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br><br>Compensation:<br><br>Paid per accepted task. Your rate depends on the qualification tier you reach and how efficiently you complete tasks — up to the equivalent of $200/hr. Because payment is per task, a faster pace raises your effective hourly rate.
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<b>Job Description</b>Overview<p>Seeking an experienced Senior Mechanical Engineer with 12+ years of experience in the supervision, coordination, and delivery of mission-critical mechanical systems for large-scale data center projects. The role will be responsible for overseeing HVAC, cooling, plumbing, fire protection, and fuel systems, ensuring compliance with project specifications, industry standards, and operational reliability requirements.</p><br>Your role<ul><li>Supervise mechanical construction activities for data center projects, ensuring compliance with approved drawings, specifications, and project requirements.</li><li>Oversee the installation, testing, and commissioning of HVAC systems, chilled water networks, cooling plants, and air distribution systems.</li><li>Monitor the installation and performance of CRAH, CRAC, in-row cooling, and other mission-critical data center cooling systems.</li><li>Review mechanical shop drawings, material submittals, method statements, and technical submissions.</li><li>Coordinate mechanical works with civil, structural, architectural, electrical, ICT, and specialist contractor activities.</li><li>Conduct site inspections and quality audits to verify workmanship, material compliance, and adherence to project standards.</li><li>Monitor installation of plumbing, drainage, fuel oil, and fire protection systems, ensuring compliance with local regulations and project specifications.</li><li>Review pressure testing, flushing, cleaning, and pre-commissioning activities for mechanical systems.</li><li>Witness and verify Testing, Adjusting, and Balancing (TAB) activities to ensure systems achieve required operational performance.</li><li>Support testing and commissioning activities, integrated systems testing (IST), and operational readiness reviews.</li><li>Identify and resolve mechanical design, construction, and interface issues in coordination with project stakeholders.</li><li>Ensure contractor compliance with project quality requirements, safety procedures, and construction schedules.</li><li>Monitor contractor progress, resources, and productivity, identifying risks and recommending corrective actions where required.</li><li>Review mechanical inspection requests and maintain QA/QC records, site observations, and non-conformance reports.</li><li>Participate in multidisciplinary coordination meetings and provide technical recommendations on mechanical engineering matters.</li><li>Support authority inspections, client walkthroughs, snagging activities, and final project handover.</li><li>Prepare progress reports, technical assessments, and project status updates for client and consultant management teams.</li></ul>About you<ul><li>Bachelor's degree in Mechanical Engineering. UPDA/MMUP Grade A</li><li>Data Center Experience [at least 1 project is delivered in the last 5 years]</li><li>Data Center Experience [at least 1 project is delivered in the last 5 years] Mandatory.</li><li><span>12+ years of experience.</span></li><li><span>HVAC, chilled water, cooling systems, CRAH/CRAC or data centre cooling, plumbing, fire protection, fuel systems, pressure testing, TAB, commissioning and MEP coordination. Data centre or mission-critical cooling experience preferred.</span></li></ul><span>Rewards & benefits</span><p><span>Explore the rewards and benefits that help you thrive – at every stage of your life and your career.</span></p><br><p><span>This includes:</span></p><br><ul><li>Tax-free salary.</li><li>Life insurance coverage.</li><li>Medical insurance.</li><li>Annual leave balance.</li><li>Company gratuity scheme.</li><li>Discretionary bonus program.</li><li>Annual flight contribution.</li><li>Transportation & housing allowances.</li><li>Employee Wellbeing Program: 24/7 access to specialists in finance, legal matters, family care, personal health, fitness, and nutrition.</li></ul><p><span>Seize every opportunity to sharpen your skills, expand your expertise, and be recognized for the impact you make.</span></p><br><p><span>About AtkinsRéalis</span></p><br><p><span>We're AtkinsRéalis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a better future for our planet and its people. </span></p><br><p><span>Find out more.</span></p><br><b>Worker Type</b>Employee<b>Job Type</b>Regular<p><span><i>At </i></span> <i><span>AtkinsRéalis</span></i><span><i>, we seek to hire individuals with diverse characteristics, backgrounds and perspectives. We strongly believe that world-class talent makes no distinctions based on gender, ethnic or national origin, sexual identity and orientation, age, religion or disability, but enriches itself through these differences. </i></span></p><br> </div>
<h2 class="h5">Job description</h2>
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<span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Compensation Up to $50/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Compensation Up to $50/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>
Role :The Manager AI Products is the primary builder within the AI Hub, responsible for turning architectural designs and product specifications into working, production-deployed AI systems. This role spans the full technical stack of modern AI engineering: training and fine-tuning ML models, building LLM powered applications, developing agentic workflows, and integrating AI solutions with Ooredoo's enterprise platform ecosystem. The AI Engineer works in close partnership with the AI Solutions Architect consuming architecture blueprints and raising implementation feedback and is instrumental in maintaining the reliability, performance, and continuous improvement of deployed AI systems.<br>About the Business Unit:AI & Data Governance team is responsible for developing and implementing data governance frameworks and AI strategies to ensure data integrity, security, compliance, and to drive innovation and operational excellence within Ooredoo. Additionally, the team manages AI projects and proof of concepts, tracks data initiatives, and coordinates with cross functional teams to ensure timely delivery and value realization.<br>Minimum Experience, Essential Knowledge & Skills:10 years' experience in a similar role. Strong proficiency in Python and its AI/ML ecosystem: PyTorch or Tensor Flow, Hugging Face Transformers, Lang Chain, and related libraries. Practical experience building LLM applications prompt engineering, RAG pipelines, embedding models, vector databases (e.g., Pinecone, Weaviate,Azure AI Search). Experience with major cloud AI services: Azure Open AI Service, Azure AI Studio, AWS Bedrock, or Google Vertex AI. Solid software engineering fundamentals: REST API design and consumption, containerisation (Docker/Kubernetes), CI/CD pipelines, and Git-based workflows. Experience integrating AI systems with enterprise software platforms via APIs or event-driven architecture. Experience in designing, developing, and orchestrating agent-to-agent (A2A) solutions, enabling autonomous collaboration, decision-making, and task execution across multiple AI agents platforms. Experience with agentic AI frameworks: Lang Graph, Auto Gen, Crew AI, or Microsoft Semantic Kernel multi-agent orchestration. Familiarity with MLOps tooling: MLflow, Azure MLPipelines, Kubeflow, or similar model lifecyclemanagement platforms. Knowledge of BSS/OSS systems or CRM integration patterns in a telecommunications context. Experience with speech-to-text, text-to-speech, or multi-modal AI for voice-enabled self-service applications. Minimum Qualifications:Bachelor's Degree in Computer Science or Engineering or Similar
Role :The Manager AI Products is the primary builder within the AI Hub, responsible for turning architectural designs and product specifications into working, production-deployed AI systems. This role spans the full technical stack of modern AI engineering: training and fine-tuning ML models, building LLM powered applications, developing agentic workflows, and integrating AI solutions with Ooredoo's enterprise platform ecosystem. The AI Engineer works in close partnership with the AI Solutions Architect consuming architecture blueprints and raising implementation feedback and is instrumental in maintaining the reliability, performance, and continuous improvement of deployed AI systems.<br>About the Business Unit:AI & Data Governance team is responsible for developing and implementing data governance frameworks and AI strategies to ensure data integrity, security, compliance, and to drive innovation and operational excellence within Ooredoo. Additionally, the team manages AI projects and proof of concepts, tracks data initiatives, and coordinates with cross functional teams to ensure timely delivery and value realization.<br>Minimum Experience, Essential Knowledge & Skills:10 years' experience in a similar role. Strong proficiency in Python and its AI/ML ecosystem: PyTorch or Tensor Flow, Hugging Face Transformers, Lang Chain, and related libraries. Practical experience building LLM applications prompt engineering, RAG pipelines, embedding models, vector databases (e.g., Pinecone, Weaviate,Azure AI Search). Experience with major cloud AI services: Azure Open AI Service, Azure AI Studio, AWS Bedrock, or Google Vertex AI. Solid software engineering fundamentals: REST API design and consumption, containerisation (Docker/Kubernetes), CI/CD pipelines, and Git-based workflows. Experience integrating AI systems with enterprise software platforms via APIs or event-driven architecture. Experience in designing, developing, and orchestrating agent-to-agent (A2A) solutions, enabling autonomous collaboration, decision-making, and task execution across multiple AI agents platforms. Experience with agentic AI frameworks: Lang Graph, Auto Gen, Crew AI, or Microsoft Semantic Kernel multi-agent orchestration. Familiarity with MLOps tooling: MLflow, Azure MLPipelines, Kubeflow, or similar model lifecyclemanagement platforms. Knowledge of BSS/OSS systems or CRM integration patterns in a telecommunications context. Experience with speech-to-text, text-to-speech, or multi-modal AI for voice-enabled self-service applications. Minimum Qualifications:Bachelor's Degree in Computer Science or Engineering or Similar
Key Activities<br>1. Experience selling regulated financial products via phone with adherence to scripts and compliance controls (industry banking practice) 2. Ability to work within governed telesales environments with call recording and quality assurance (Verification Needed) 3. Execute outbound and inbound telesales campaigns for credit card acquisition to achieve monthly card sales targets (+cards/month).4. Convert bank-provided leads and prescreened/preapproved prospects to activated cards, improving lead-to-sale conversion rate (+pp).6. Apply approved sales scripts and product propositions to ensure compliant selling and reduce mis-selling incidents (−incidents).7. Prioritize outreach using provided propensity models and lead lists to improve productivity per agent (+cards/FTE).8. Educate customers on card features, benefits, fees, and usage to improve activation rate within 30 days (+pp).8. Capture accurate customer information and update CRM/sales systems to maintain data quality (−rework/errors).9. Adhere to governance controls including call recording, quality checks, and policy compliance to meet audit standards (100% compliance).<br><br>KPIs<br>Monthly cards sold per agent (+cards/month) Lead-to-sale conversion rate (+pp) Card activation rate within 30 days (+pp) Sales quality score from call monitoring (% compliant) Productivity per agent (cards/FTE) Script adherence and compliance incidents (−count)<br><br>Knowledge and Experience <br>1. Credit card acquisition lifecycle knowledge (lead → sale → activation)2. Understanding of regulated sales environments and mis-selling prevention3. Familiarity with contact-centre operations, call handling, and CRM usage Nice-to-have:1. Experience with pre-screened or preapproved card sales models2. Exposure to cross-sell (debit-to-credit) or ETB reactivation campaigns3. Familiarity with UAE/GCC retail banking products and customer expectation Mandatory Skills1. Phone-based consultative selling and objection handling2. CRM and sales system data entry and hygiene3. Scripted sales execution with compliance focus4. Basic sales performance tracking (targets, productivity, conversion)
Key Activities<br>1. Experience selling regulated financial products via phone with adherence to scripts and compliance controls (industry banking practice) 2. Ability to work within governed telesales environments with call recording and quality assurance (Verification Needed) 3. Execute outbound and inbound telesales campaigns for credit card acquisition to achieve monthly card sales targets (+cards/month).4. Convert bank-provided leads and prescreened/preapproved prospects to activated cards, improving lead-to-sale conversion rate (+pp).6. Apply approved sales scripts and product propositions to ensure compliant selling and reduce mis-selling incidents (−incidents).7. Prioritize outreach using provided propensity models and lead lists to improve productivity per agent (+cards/FTE).8. Educate customers on card features, benefits, fees, and usage to improve activation rate within 30 days (+pp).8. Capture accurate customer information and update CRM/sales systems to maintain data quality (−rework/errors).9. Adhere to governance controls including call recording, quality checks, and policy compliance to meet audit standards (100% compliance).<br><br>KPIs<br>Monthly cards sold per agent (+cards/month) Lead-to-sale conversion rate (+pp) Card activation rate within 30 days (+pp) Sales quality score from call monitoring (% compliant) Productivity per agent (cards/FTE) Script adherence and compliance incidents (−count)<br><br>Knowledge and Experience <br>1. Credit card acquisition lifecycle knowledge (lead → sale → activation)2. Understanding of regulated sales environments and mis-selling prevention3. Familiarity with contact-centre operations, call handling, and CRM usage Nice-to-have:1. Experience with pre-screened or preapproved card sales models2. Exposure to cross-sell (debit-to-credit) or ETB reactivation campaigns3. Familiarity with UAE/GCC retail banking products and customer expectation Mandatory Skills1. Phone-based consultative selling and objection handling2. CRM and sales system data entry and hygiene3. Scripted sales execution with compliance focus4. Basic sales performance tracking (targets, productivity, conversion)
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Effort estimate Tasks for this project are estimated to take 20 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation Up to $50/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br>What this opportunity involves: We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for: 8+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard: Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidEffort estimate Tasks for this project are estimated to take 30 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation: Up to $200/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~30 hours each; you set your own schedule.<br></span> </div>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Effort estimate Tasks for this project are estimated to take 20 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation Up to $50/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br>What this opportunity involves: We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for: 8+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard: Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidEffort estimate Tasks for this project are estimated to take 30 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation: Up to $200/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~30 hours each; you set your own schedule.<br></span> </div>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Effort estimate Tasks for this project are estimated to take 20 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation Up to $50/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>