Bilingual Specialist

Innodata Inc.; India; Remote; INR 551,000 - 1,102,000; Part time

Job summary

A data engineering company is seeking Research & Expectations Raters to support an ongoing Large Language Model (LLM) training project. This role involves analyzing questions and conducting independent research to identify accurate and verifiable information for high-quality long-form answers. Candidates should possess a relevant degree and proficiency in Tamil/Telugu/Marathi/Kannada/Bengali, along with strong research and analytical skills. This freelancing opportunity offers flexibility and the chance to contribute to innovative AI projects.

Qualifications

• Bachelor's or Master's degree in a relevant field.
• Strong command of the specified languages.
• Experience in data annotation or related fields.
• Ability to understand and apply complex annotation guidelines accurately.
• Comfort working with web-based annotation tools and platforms.

Responsibilities

• Conduct thorough research using credible sources.
• Write clear, structured expectations for long-form answers.
• Verify the accuracy of facts included.
• 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.

Skills

Research capabilities

Analytical thinking

Strong command of Tamil/Telugu/Marathi/Kannada/Bengali

Experience in data annotation

Tamil language

Telugu language

Marathi language

Kannada language

Bengali language

Education

Bachelor’s or Master’s degree in Linguistics, English, Humanities, Communication, Computer Science

Job description

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 type: Freelancing

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
• 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 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.