Language Specialist

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. Job Title : Rater / AI Trainer (LLM Training ) Location : Remote About the Role: AI development team as Raters / AI Trainers. In this role, you will use your deep technical knowledge to evaluate, annotate, and provide structured feedback on AI-generated content produced by Large Language Models (LLMs). Your expertise will bring a level of precision, technical depth, and computational reasoning that is essential for training advanced AI. This role allows you to bridge your academic expertise with cutting-edge LLM development—helping to create AI that understands, explains, and reasons about code like a human expert. Key Responsibilities: - Evaluate LLM outputs for correctness, coherence, and relevance in technical areas such 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 : - Native or near-native English fluency, with excellent written communication skills. Kindly share me your resume at Best Regards, Omkar Shakya

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