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Remote Generalist - English & Tamil - AI Trainer

Remote / Online - Candidates ideally in
Bakersfield, Kern County, California, 93309, USA
Listing for: Mercor
Remote/Work from Home position
Listed on 2026-06-09
Job specializations:
  • Language/Bilingual
    Bilingual
Salary/Wage Range or Industry Benchmark: 15 - 20 USD Hourly USD 15.00 20.00 HOUR
Job Description & How to Apply Below
Position: Remote Generalist - English & Tamil - AI Trainer ($15-$20 per hour)

Role Overview

PLEASE NOTE:

You must take the Bilingual Competency interview in Tamil to be considered for this role.

Location & Contract

Location:

Global
Type:
Contract Work

Language Requirements

Fluent Language

Skills Required:

Tamil (native fluency) and English (strong proficiency)

What You'll Do
  • Conduct fact‑checking using trusted public sources and external tools
  • Generate high‑quality human evaluation data by identifying response strengths, areas for improvement, and factual inaccuracies
  • Assess reasoning quality, clarity, tone, and completeness of responses
  • Ensure model responses align with expected conversational behavior and system guidelines
Qualifications
  • Bachelor's degree
  • Native speaker of Tamil
  • Significant experience using large language models (LLMs) and understanding how and why people use them
  • Excellent writing skills in English with the ability to articulate nuanced feedback clearly
  • Strong attention to detail and a proven ability to notice subtle issues others may overlook
  • Background or experience in domains requiring structured analytical thinking (e.g., research, policy, analytics, linguistics, engineering)
Nice‑to‑Have Specialties
  • Prior experience with RLHF, model evaluation, or data annotation work
  • Experience writing or editing high‑quality written content
  • Experience comparing multiple outputs and making fine‑grained qualitative judgments
Success Looks Like
  • Identification of factual inaccuracies, reasoning errors, and communication gaps in model responses
  • Production of clear, consistent, and reproducible evaluation artifacts
  • Feedback that leads to measurable improvements in response quality and user experience
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