Frontier AI Safety Red Team Expert

Mercor; Madrid; Presencial; EUR 70.000 - 100.000; Jornada completa

Descripción de la vacante

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

You will document vulnerabilities and contribute to safety benchmarking, collaborate with AI researchers to improve alignment, robustness, and safety in real-world deployments.

Formación

• 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, life sciences, or related field.
• Strong analytical reasoning, prompt design, and written communication skills.
• Experience designing adversarial prompts or evaluating frontier AI systems.

Responsabilidades

• 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.

Conocimientos

Analytical reasoning

Prompt design

Written communication

Adversarial testing

Educación

Bachelor's degree or higher in Computer Science or related field

Descripción del empleo

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

You will document vulnerabilities and contribute to safety benchmarking, collaborate with AI researchers to improve alignment, robustness, and safety in real-world deployments.