Frontier AI Safety Red Teamer (Remote Contract)

Mercor; Dublin; Remote; EUR 83,000 - 100,000; Full time

Job summary

Mercor is seeking an AI Safety Red Teamer for a remote contract role. You will design adversarial prompts and stress-test frontier AI models, documenting vulnerabilities for safety benchmarking and red-teaming reports.

You will collaborate with AI researchers to improve model alignment, robustness, and safety across cyber, biosecurity, misinformation, and political content domains. 5+ years in AI safety or red teaming is preferred.

Qualifications

• Bachelor's degree or higher in a relevant field.
• 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.
• Collaborate with AI researchers to improve model alignment, robustness, and safety.

Skills

Analytical reasoning

Prompt design

Written communication

Adversarial prompt design

AI Safety / Red Teaming

Education

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

Job description

Mercor is seeking an AI Safety Red Teamer for a remote contract role. You will design adversarial prompts and stress-test frontier AI models, documenting vulnerabilities for safety benchmarking and red-teaming reports.

You will collaborate with AI researchers to improve model alignment, robustness, and safety across cyber, biosecurity, misinformation, and political content domains. 5+ years in AI safety or red teaming is preferred.