Job Title

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 asleading 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 datasolutions and easy-to-use, high-quality platforms.Our global workforce includes over 5,000employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany.Job Title: Generative AI Associate Analyst (LLM Training – Computer Science Domain)Location: RemoteEmployment Type: Flexible Contract Role (Part-time, up to 25 hours weekly) About the Role:We are seeking highly qualified individuals with a Master’s or PhD in Computer Science to join our AI development team as Generative AI Associate Analyst. In this role, you will use your deeptechnical knowledge to evaluate, annotate, and provide structured feedback on AI-generated content produced by Large Language Models (LLMs). Your expertise will bring a level ofprecision, technical depth, and computational reasoning that is essential for training advanced AI. This role allows you to bridge your academic expertise with cutting-edge LLMdevelopment—helping to create AI that understands, explains, and reasons about code and computer science like a human expert.This position offers a unique opportunity to apply your academic and practical knowledge in computer science to help train AI that is safer, smarter, and better aligned with real-worldtechnical use cases.Key Responsibilities:Evaluate LLM outputs for correctness, coherence, and relevance in technical areassuch as programming, algorithms, data science, software engineering, systems design, and theoretical computer science.Assess and annotate AI responses for logical consistency, technical accuracy, code quality, computational feasibility, and clarity.Develop and test prompts that challenge the model’s understanding of programming concepts, debugging scenarios, and algorithmic logic.Provide structured, technical feedback on AI-generated answers, including identifying subtle bugs, inefficient logic, or misleading explanations.Ensure annotation consistency, data integrity, and high-quality labelling across assigned rating tasks.Eligibility Criteria:Master’s or PhD in Computer Science, Software Engineering, or a related field.Strong command of core computer science topics (e.g., algorithms, data structures, complexity, programming languages, systems architecture).Proficiency in one or more programming languages (e.g., Python, Java, C++, or similar).Excellent analytical and problem-solving skills; ability to spot logical flaws and inefficiencies in code or explanations.Native or near-native English fluency, with excellent written communication skills.As part of the project, you are required to complete the English language assessment. *The assessment is mandatory & non-billable*If interested, kindly share your updated resume at : tsingh3@