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Kannada AI Response Evaluator

Join OpenTrain as a remote, part-time Kannada evaluator reviewing AI-generated Kannada responses for factual accuracy, reasoning, tone, and guideline adherence. Flexible schedule, 20+ hrs/week, $15–$20/hr — native Kannada and strong written English required.

OpenTrain AI

Generative AI & RLHF

100% Remote Hourly · $15–$20/hr

$15–$20/hr

Compensation

Worldwide

Eligibility

Entry

Experience

Jul 10, 2026

Posted

Open worldwide

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About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. We help freelancers discover projects, build a unified portfolio of AI training work, and grow long-term careers in a fast-growing field.

OpenTrain AI is hiring directly for this role. You'll join a global community of contributors who shape how cutting-edge AI systems behave while working remotely and on flexible schedules.

About AI training and this work

AI training (also called data labeling or annotation) is the human work that teaches models how to respond. Evaluators review model outputs, find errors, and provide structured feedback that improves model safety, accuracy, and conversational behavior.

This role focuses on evaluating text outputs in Kannada, making fine-grained judgments about reasoning, factuality, tone, completeness, and adherence to guidelines — work that directly influences state-of-the-art language models.

The role

As a Kannada AI Response Evaluator you will review Kannada AI-generated answers, judge strengths and weaknesses, and flag factual inaccuracies, reasoning errors, and communication gaps. Your evaluations and written feedback will be produced in English and used to guide model improvements.

This is a part-time, contract position with flexible scheduling and fully remote work. The role requires consistent, precise qualitative judgments and the ability to follow evaluation rubrics.

  • Position type: Remote contractor, part-time
  • Time commitment: 20+ hours per week (flexible scheduling)
  • Pay: $15 to $20 per hour

What you'll do

You will read prompts and Kannada model responses, compare multiple outputs when required, and rate them against established criteria. Provide consistent written feedback and complete evaluation artifacts in English following provided guidelines.

  • Identify factual errors, hallucinations, and reasoning flaws
  • Judge clarity, completeness, tone, and conversational alignment
  • Compare outputs and make fine-grained preference or rating judgments
  • Produce written feedback and structured evaluation artifacts in English

Requirements

Candidates must meet the mandatory qualifications below. These are essential to perform the evaluations accurately and consistently.

  • Native fluency in Kannada (kn)
  • Strong written English communication (en) — you will write feedback in English
  • A bachelor's degree
  • Significant experience using large language models
  • Strong attention to detail and structured analytical thinking

Helpful experience

The following are not required but make you a stronger candidate and help you ramp up faster on evaluation tasks.

  • Experience with RLHF, model evaluation, or data annotation
  • Experience writing or editing high-quality content
  • Experience comparing multiple outputs and making careful qualitative judgments

Who should apply and how it works

This role is a good fit for native Kannada speakers who are comfortable using LLMs, enjoy detailed qualitative judgment work, and can write clear feedback in English. It's suitable for people seeking flexible, part-time remote work and for those building an AI-training portfolio.

If selected, you'll work as an OpenTrain contractor. Tasks are assigned with clear rubrics and examples; you'll complete evaluations, submit written feedback, and follow quality checks. Building experience on OpenTrain helps you qualify for future projects and higher-paying roles.

  • Employment: Contractor (part-time)
  • Label types: Evaluation rating and RLHF-style judgments
  • Data type: Text evaluation
  • Worldwide: Open to global applicants; remote work

Ready to apply?

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