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 5,000employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany.

Job Title:

Location:

Employment Type:

About the Role:

Master’s or PhD in Computer Science

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 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.

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@innodata.com