15 hours ago

Bilingual AI Model Evaluator

Mercor

Hybrid
Part Time
$74,880
Hybrid

Job Overview

Job TitleBilingual AI Model Evaluator
Job TypePart Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$74,880
LocationHybrid

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Job Description

About Mercor

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Bilingual AI Model Evaluator

This role is available as Full-time or Part-time Contract Work with a compensation of $36/hour. This position is remote, restricted to candidates located in Europe, Canada (Quebec), and the USA.

Role Responsibilities

  • Evaluate LLM-generated responses on their ability to effectively answer user queries.
  • Conduct fact-checking using trusted public sources and external tools.
  • Generate high-quality human evaluation data by annotating 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.
  • Apply consistent annotations by following clear taxonomies, benchmarks, and detailed evaluation guidelines.

Qualifications

Must-Have
  • Bachelor’s degree
  • Native speaker or ILR 5/primary fluency (C2 on the CEFR scale) in French
  • Significant experience using large language models (LLMs)
  • Excellent writing skills
  • Strong attention to detail
  • Adaptable and comfortable moving across topics, domains, and customer requirements
  • Background or experience in domains requiring structured analytical thinking
  • Excellent college-level mathematics skills
Preferred
  • 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
  • Familiarity with evaluation rubrics, benchmarks, or quality scoring systems

Application Process

The application process takes approximately 20-30 minutes to complete:

  • Upload resume
  • Complete an AI interview based on your resume
  • Submit the form

Resources & Support

For details about the interview process and platform information, please check: talent.docs.mercor.com/welcome/welcome

For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Key skills/competency

  • LLM Evaluation
  • Natural Language Processing
  • French Fluency (C2)
  • Fact-Checking
  • Data Annotation
  • Analytical Thinking
  • Writing Proficiency
  • Attention to Detail
  • AI Model Assessment
  • RLHF (Reinforcement Learning from Human Feedback)

Tags:

AI Model Evaluator
LLM evaluation
fact-checking
data annotation
reasoning assessment
clarity assessment
tone assessment
completeness assessment
guideline adherence
taxonomy application
conversational behavior
LLMs
AI
NLP
NLU
Machine Learning
Data Science
AI assessment tools
Annotation platforms
Evaluation rubrics
Public data sources

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How to Get Hired at Mercor

  • Research Mercor's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Tailor your resume for AI roles: Customize your resume to highlight experience with LLMs, data annotation, and French language proficiency, using keywords from the job description.
  • Prepare for the AI interview: Familiarize yourself with common AI interview platforms and practice articulating your skills and experiences related to AI model evaluation.
  • Showcase analytical and linguistic skills: Be ready to demonstrate your strong writing, fact-checking, and structured analytical thinking abilities in both English and French during the process.
  • Highlight relevant project experience: Emphasize any prior experience in RLHF, model evaluation, or projects requiring fine-grained qualitative judgments of AI outputs.

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