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LLM Red Team Specialist - AI

Role overview

Qualifications

  • MSc or PhD in a STEM field or equivalent experience
  • 1+ years in research, research-engineering, security, or AI evaluation
  • Experience identifying vulnerabilities in LLMs or ML systems
  • Proficiency in Python and Git

Responsibilities

  • Evaluate frontier AI models on coding, ML, and analysis tasks to identify vulnerabilities and failure modes
  • Design complex tasks that challenge models and are fair for grading
  • Document findings with clear evidence and reproducible steps
  • Collaborate with task authors to close loopholes and improve grading

About the company

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Mercor

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Job description

About the job

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: LLM Red Team Specialist — Failure Modes & Edge Cases
Type: Contract
Compensation: $60–$90/hour
Location: Remote
Commitment: 35 hours/week

Role Responsibilities

  • Evaluate frontier AI models on coding, ML, and analysis tasks to identify vulnerabilities and failure modes.
  • Design complex tasks that challenge models and are fair for grading.
  • Document findings with clear evidence and reproducible steps.
  • Collaborate with task authors to close loopholes and improve grading.
  • Share insights with researchers to enhance benchmark quality.
  • Work independently and asynchronously to meet deadlines and improve AI model performance.

Qualifications

Must-Have

  • MSc or PhD in a STEM field or equivalent experience.
  • 1+ years in research, research-engineering, security, or AI evaluation.
  • Experience identifying vulnerabilities in LLMs or ML systems.
  • Proficiency in Python and Git.
  • Familiarity with LLM capabilities and evaluation techniques.
  • Ability to work 35 hours/week.

Preferred

  • Experience in AI training, model evaluation, or benchmark/task authoring.

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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