AI Safety Specialist - Remote | Upto $84/hr

mercor

San Francisco (CA)

Hybrid

GBP 73,000 - 87,000

Part time

14 days+
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Job summary

Mercor is seeking an AI Safety Red Teamer on a remote, contract basis. You will design adversarial prompts to stress-test frontier AI models and identify jailbreaks, unsafe behaviors, hallucinations, and policy failures.

You will evaluate model robustness across domains such as misinformation, cyber, biosecurity, fraud, and political content, and document vulnerabilities while contributing to safety benchmarking and red-teaming reports.

Qualifications

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

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.

Skills

Analytical reasoning
Prompt design
Written communication

Education

Bachelor’s degree in related field

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.
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