Remote AI Safety Red Teamer — Expert

JobsinAustria; Wien; On-site; EUR 83,000 - 100,000; Full time

Job summary

MERCOR connects elite creative and technical talent with leading AI research labs. This remote contract role is for an AI Safety Red Teamer who designs adversarial prompts and stress-tests frontier AI models.

You will identify jailbreaks, unsafe behaviors, and policy failures while evaluating model robustness across diverse domains. Applicants should have 5+ years in AI Safety or related fields, plus a Bachelor's degree or higher in a relevant discipline.

Qualifications

• 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.

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 or higher in CS, cybersecurity, journalism, communications, psychology, biology, chemistry, public policy, or related discipline

Job description

MERCOR connects elite creative and technical talent with leading AI research labs. This remote contract role is for an AI Safety Red Teamer who designs adversarial prompts and stress-tests frontier AI models.

You will identify jailbreaks, unsafe behaviors, and policy failures while evaluating model robustness across diverse domains. Applicants should have 5+ years in AI Safety or related fields, plus a Bachelor's degree or higher in a relevant discipline.