AI Red Team Specialist - LLM
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
- 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: [email protected]
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
first seen 2026-08-26 21:30:01 · last verified 2026-10-05 01:30:01
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