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AI Vulnerability Expert - Fully Remote | Upto $90/hr

$90 per hour

Mercor

Job Description

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

  • Probe models to explore how frontier AI models handle coding , ML , and analysis tasks. Identify spots where models quietly fail.
  • Design challenges by turning identified weaknesses into well-crafted tasks that are challenging for models but fair to grade.
  • Document findings clearly with reproducible evidence and steps.
  • Strengthen tasks by collaborating with task authors to close loopholes, shortcuts, and grading gaps.
  • Work as a team by sharing insights with researchers and fellow experts to continually improve the benchmark.

Qualifications

Must-Have

  • MSc or PhD in a STEM field or equivalent practical experience.
  • 1+ years of experience in research, research-engineering, security, or AI-evaluation roles.
  • Ability to identify vulnerabilities, edge cases, or failure modes in LLMs or ML systems .
  • Proficiency in Python and Git for scripting probes and analyses.
  • Familiarity with LLM capabilities , limitations, and evaluation techniques.
  • Ability to engage reliably for approximately 35 hours/week .

Preferred

  • Experience in AI training , model evaluation, or benchmark/task authoring.
  • High attention to detail, creativity, and strong written communication skills.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

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

Vacancy posted 10 days ago
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