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Remote Generalist - English & Marathi - AI Trainer

Remote / Online - Candidates ideally in
City of Syracuse, Syracuse, Onondaga County, New York, 13201, USA
Listing for: Mercor
Remote/Work from Home position
Listed on 2026-06-03
Job specializations:
  • Social Work
    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 & Marathi - AI Trainer ($15-$20 per hour)
Location: City of Syracuse

Overview

PLEASE NOTE:

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

Location:

Global
Type:
Contract Work
Fluent Language

Skills Required:

Marathi (native fluency) and English (strong proficiency)

Why this role matters:
Your job is to assess Marathi AI‑generated responses and identify specific strengths and areas of improvement for these responses – your work will be used to create the "perfect AI‑generated response" at a later stage of this project. Note that the analysis you create will be in English.

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.
Who You Are
  • You hold a Bachelor's degree.
  • You are a native speaker in Marathi.
  • You have significant experience using large language models (LLMs) and understand how and why people use them.
  • You have excellent writing skills in English and can clearly articulate nuanced feedback.
  • You have strong attention to detail and consistently notice subtle issues others may overlook.
  • You have a 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.
What Success Looks Like
  • You identify factual inaccuracies, reasoning errors, and communication gaps in model responses.
  • You produce clear, consistent, and reproducible evaluation artifacts.
  • Your feedback leads to measurable improvements in response quality and user experience.
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