MercorVerified Source
RemoteAI & Machine LearningNLP & Language Models

Generalist - English & Gujarati | $15-$20/hr Remote

$15–$20/hr
Posted June 30, 2026
part-time
30 openings

Overview

This role focuses on reviewing and evaluating AI-generated responses in Gujarati to identify strengths and areas for improvement. You'll perform fact-checking, assess reasoning and clarity, and produce detailed feedback in English that helps refine future AI outputs. The work is fully remote and contract-based, offering flexible hours for bilingual professionals.

What You'll Do5

  • 1Verify facts using reliable public sources and external research tools to ensure accuracy in AI responses.
  • 2Evaluate model outputs for quality, noting strong points, weaknesses, and any factual mistakes.
  • 3Assess the reasoning, clarity, tone, and completeness of each response against expected standards.
  • 4Ensure all responses follow conversational behavior guidelines and system-level requirements.
  • 5Produce clear, consistent evaluation records that can be reproduced and used to track improvements.

Requirements5

  • 1Native-level fluency in Gujarati and strong written English skills for articulating feedback.
  • 2A Bachelor's degree in any field.
  • 3Substantial hands-on experience using large language models (LLMs) and understanding how people interact with them.
  • 4Excellent attention to detail and the ability to spot subtle issues others might miss.
  • 5Background in structured analytical work such as research, policy, analytics, linguistics, or engineering.

Who Should Apply

This role is ideal for a detail-oriented bilingual generalist who enjoys critical analysis and has experience interacting with AI tools. If you're comfortable evaluating text for nuance, tone, and factual accuracy, and you can clearly communicate your reasoning in English, you'll thrive here.

Salary Insight

Compensation is $15.00 - $20.00 per hour, based on experience and performance.

Application Tip

In your cover letter, include a brief example of how you've evaluated or improved an AI output in the past — this shows you understand the core task beyond just listing qualifications.

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