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AI Safety Red Teamer Expert

$70 - $84 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: AI Safety Red Teamer
Type: Contract
Compensation: $70–$84/hour
Location: Remote

Role Responsibilities

  • Design adversarial prompts to stress-test frontier AI models .
  • Identify jailbreaks, unsafe behaviors, hallucinations, and policy failures.
  • Evaluate model robustness across misinformation, cyber, biosecurity, fraud, political content, and other sensitive domains.
  • Document vulnerabilities and contribute to safety benchmarking and red-teaming reports.
  • Collaborate with AI researchers to improve model alignment, robustness, and safety.

Qualifications

Must-Have

  • Bachelor's degree or higher in Computer Science , Cybersecurity , Journalism , Communications , Psychology , Biology , Chemistry , Public Policy , or a related discipline.
  • 5+ years of professional experience in AI Safety , AI Red Teaming , Trust & Safety , cybersecurity, investigative journalism, life sciences, or a related field.
  • Strong analytical reasoning, prompt design, and written communication skills.
  • Experience designing adversarial prompts or evaluating frontier AI systems .

Preferred

  • Experience with AI Red Teaming , RLHF , SFT , AI Alignment , or Trust & Safety .
  • Familiarity with jailbreak testing, prompt engineering, or adversarial evaluation methodologies.
  • Expertise in one or more grey-area domains, including cyber, biosecurity, political content, misinformation, or scientific safety.

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 25 days ago
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