Tamil AI Response Evaluator (Remote, $15–$20/hr)

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. We make it simple to discover projects, build a portfolio of annotation work, and grow a durable freelance career in the human side of AI.

OpenTrain is hiring and contracting for this role. Selected contributors will be engaged directly by OpenTrain to evaluate and improve AI-generated Tamil responses.

Why AI training matters — and what this work looks like

AI training (also called data labeling or human feedback) is how people teach models to produce better, safer, and more useful outputs. Contributors annotate, rate, and critique model responses so future systems learn from real human judgments.

This kind of work is often remote and a strong fit for flexible, part-time contributors. You’ll be on the cutting edge of how conversational AI improves in real languages like Tamil.

The role — Tamil AI Response Evaluator

You will review AI-generated Tamil responses and provide structured, evidence-based assessments in English. Your evaluations will cover factual accuracy, reasoning quality, clarity, tone, completeness, and adherence to system guidelines.

This is a contract, part-time role requiring 20+ hours per week. Compensation is hourly between $15 and $20, paid by OpenTrain.

• Labeling type: evaluation ratings and RLHF-style judgments on text outputs
• Data type: text (Tamil responses); feedback written in English
• Employment: contractor, part-time; remote; worldwide applicants accepted

What you'll do day-to-day

Work through batches of AI responses and make fine-grained qualitative judgments. You’ll compare multiple outputs, identify strengths and weaknesses, and write clear, actionable feedback in English that helps model developers improve future answers.

• Assess factual claims and verify accuracy when applicable
• Judge reasoning quality, helpfulness, clarity, tone, and completeness
• Compare and rank alternative responses using provided rubrics
• Write concise, evidence-based feedback in English for each item

Requirements — what we need from you

Candidates must meet all required qualifications below. Prior RLHF or model-evaluation experience is preferred but not strictly required for entry-level contributors with strong LLM experience.

• Native or bilingual fluency in Tamil (ta)
• Strong written English (en) for writing feedback
• Bachelor's degree
• Significant experience using large language models
• High attention to detail and solid analytical judgment
• Prior RLHF, model evaluation, or data annotation experience preferred

Compensation, schedule, and practical details

Pay is hourly between $15 and $20, depending on experience and performance metrics. This is remote contract work managed by OpenTrain; contributors set availability but the project expects at least 20 hours/week.

Work involves reading and rating text outputs and writing feedback in English. You will use OpenTrain’s platform and labeling guidelines to complete assignments.

• Hourly pay: $15–$20 USD
• Minimum expected time commitment: 20+ hours/week
• Worldwide applicants accepted; work is fully remote

How to apply

Create or sign in to your OpenTrain account and submit your application for this Tamil evaluation role. Include brief notes on your LLM experience and any prior annotation or RLHF work.

If selected, you’ll receive onboarding materials and an evaluation task to demonstrate your judgment and feedback style before starting paid work.

• Prepare examples or notes about your LLM usage and any relevant annotation work
• Be ready to complete a short qualification task during onboarding