Language Specialist

Innodata Inc.; India; Remote; INR 454,608 - 647,472; Part time

Job summary

A leading data solutions provider in India is seeking a Freelance Bilingual Rater Specialist – Kannada to support Large Language Model training. The role involves researching questions, writing structured expectations, and verifying accuracy. Candidates should have a Bachelor’s or Master’s degree in relevant fields, be native Kannada speakers, and possess English proficiency. Previous experience in data annotation or AI evaluation is preferred. This is a freelance position requiring 5–6 hours per day.

Qualifications

• Bachelor’s or Master’s degree in a relevant field is required.
• Native proficiency in Kannada and good command of English are essential.
• Experience in data annotation, content review, or AI evaluation is necessary.

Responsibilities

• Identify and document key facts for ideal responses.
• Write clear and structured expectations.
• Verify accuracy and flag ambiguous or unclear questions.
• Follow project guidelines and quality standards.

Skills

Native proficiency in Kannada

Proficiency in English

Experience in data annotation

Familiarity with web-based annotation tools

Education

Bachelor’s/Master’s in relevant fields

Job description

Overview

Here is a freelancing opportunity as Bilingual Rater Specialist – Kannada at Innodata. Please find the Job description below:

Type: Freelance

Hours: 5–6 hours/day

Rate: INR 400 per hour

Role Summary

Support Large Language Model (LLM) training by researching questions and defining accurate, verifiable expectations for high-quality long-form answers.

Key Responsibilities

• Identify and document key facts for ideal responses
• Write clear, structured expectations
• Verify accuracy and flag ambiguous or unclear questions
• Follow project guidelines and quality standards

Requirements

• Bachelor’s/Master’s in relevant fields
• Native proficiency in Kannada and proficiency in English.
• Experience in data annotation, content review, or AI evaluation
• Comfortable with web-based annotation tools