Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider-of-choice for 4 out of 5 of the world’s biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine. By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we’re helping usher in the promise of AI. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms.
Our global workforce includes over 5,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany.
About the role:
We are seeking detail-oriented evaluators to conduct human quality evaluations for an enterprise AI customer support product on different social media platform. You will evaluate and benchmark AI model responses against complex evaluation rubrics using provided business knowledge bases.
Job role: Content Evaluator – Customer Support & LLM Benchmarking Language : Arabic(Native proficiency) Hourly commitment: 6 hours per day
Key Responsibilities
Evaluate AI-generated customer interactions using defined quality parameters. Verify AI responses against FAQs, product catalogs, SOPs, and other approved sources. Participate in dual reviews and daily calibration to maintain evaluation consistency. Follow detailed rubrics and logic trees while meeting productivity targets. Maintain an average handling time of approximately 45 minutes per job.
Required Skills
Experience in customer service, call centers, retail, or customer communications. Excellent English proficiency with strong grammar, tone, and comprehension. Strong analytical and attention-to-detail skills. Ability to follow complex guidelines consistently. Comfortable working with web-based evaluation and labeling tools.
Engagement Details Duration: 2 months (~60 working days), extendable Schedule: Availability for 6 hours per day Work Type: Freelance
If you're ready to contribute to the future of AI while working remotely on an exciting music-focused project, we'd love to hear from you!