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

Location

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 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 developmenthelping 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-world technical use cases.

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

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.

Kindly share me your resume at [HIDDEN TEXT]

Best Regards,

Omkar Shakya