Bilingual Rater 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 : Bilingual Rater Specialist Job type:

Freelancing Workings hours:

5- 6 hours daily Working day:

Flexible(All 7 days)

About the role:

We are seeking

Research & Expectations Raters

to support an ongoing

Large Language Model (LLM) training project . In this role, raters will analyze questions and conduct independent research to identify

accurate, verifiable facts (“expectations”)

that should be included in a complete and high-quality

long-form answer . This position requires strong research capabilities, analytical thinking, and the ability to validate information using reliable sources.

Overview of the Task In this project, raters receive questions and are required to: Conduct thorough research to identify

accurate, factual, and verifiable information . Define clear

expectations

that would be included in a complete and correct long-form response. Ensure that expectations are comprehensive, logically structured, and factually sound.

Key Responsibilities Research questions using credible and authoritative sources. Identify and document

key facts, concepts, and points

expected in an ideal long-form answer. Write clear, structured expectations aligned with the intent of the question. Verify the accuracy and reliability of all facts included. Ensure logical completeness and relevance of expectations. Follow detailed project guidelines and quality standards. Collaborate with reviewers and project teams to maintain consistency and accuracy. Flag ambiguous, unclear, or misleading questions where applicable.

Domains Covered Text classification and tagging Intent and sentiment analysis Named entity recognition (NER) Language quality and fluency evaluation Prompt-response alignment Bias, safety, and hallucination detection

Required Qualifications Bachelor’s or Master’s degree in

Linguistics, English, Humanities, Communication, Computer Science , or related fields. Strong command of Tamil/Telugu/Marathi/Kannada/Bengali/Gujarati

language

(written and comprehension). Experience in

data annotation, content moderation, linguistic analysis, or AI evaluation . Ability to understand and apply complex annotation guidelines accurately. Comfort working with web-based annotation tools and platforms.