Remote AI Safety Red Teamer

mercor; United States; Remote; USD 96,000 - 116,000; Part time

Job summary

Mercor is seeking an AI Safety Red Teamer for a remote contract role. You will design adversarial prompts to stress-test frontier AI models, identify jailbreaks and unsafe behaviors, and evaluate robustness across sensitive domains.

Join a team focused on documenting vulnerabilities, contributing to safety benchmarking, and collaborating with AI researchers to improve alignment, robustness, and safety. The role requires 5+ years in AI safety or related fields and a strong background in CS,

Qualifications

• Bachelor's degree or higher in CS, 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 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 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

Adversarial prompt design

Education

Bachelor's degree or higher in CS/Cybersecurity/Journalism/Communications/ Psychology/ Biology/ Chemistry/ Public Policy

Job description

Mercor is seeking an AI Safety Red Teamer for a remote contract role. You will design adversarial prompts to stress-test frontier AI models, identify jailbreaks and unsafe behaviors, and evaluate robustness across sensitive domains.

Join a team focused on documenting vulnerabilities, contributing to safety benchmarking, and collaborating with AI researchers to improve alignment, robustness, and safety. The role requires 5+ years in AI safety or related fields and a strong background in CS,