Senior AI Safety Red Team Expert

Mercor; San Francisco (CA); On-site; USD 150,000 - 230,000; Full time

Job summary

Mercor is seeking experienced AI Safety Red Teamers to identify vulnerabilities in frontier AI systems through adversarial testing. You will design prompts, uncover model weaknesses, and evaluate AI behavior across high-risk topics.

Responsibilities include stress-testing models, identifying jailbreaks and policy failures, documenting vulnerabilities, and collaborating with researchers to improve alignment and safety.

Qualifications

• 5+ years of professional experience in AI Safety, AI Red Teaming, Trust & Safety, cybersecurity, investigative journalism, life sciences, or related field.
• 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 behaviours, 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

Prompt design

Adversarial testing

Analytical reasoning

Written communication

AI safety

Education

Bachelor's degree or higher in Computer Science, Cybersecurity, Journalism, Communications, Psychology, Biology, Chemistry, Public Policy, or related field

Job description

Mercor is seeking experienced AI Safety Red Teamers to identify vulnerabilities in frontier AI systems through adversarial testing. You will design prompts, uncover model weaknesses, and evaluate AI behavior across high-risk topics.

Responsibilities include stress-testing models, identifying jailbreaks and policy failures, documenting vulnerabilities, and collaborating with researchers to improve alignment and safety.