Elite Frontier AI Safety Red Teamer

Mercor; Lisboa; Presencial; EUR 60 000 - 90 000; Tempo integral

Resumo da oferta

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 complex, high-risk topics.

The role focuses on stress-testing models, documenting vulnerabilities, and collaborating with researchers to improve alignment and safety in real-world applications.

Qualificações

• 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.

Conhecimentos

Prompt design

Adversarial testing

Analytical reasoning

Written communication

Experience evaluating frontier AI

Formação académica

Bachelor’s degree or higher in CS/Cybersecurity/related

Ferramentas

RLHF

AI safety tooling

Descrição da oferta de emprego

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 complex, high-risk topics.

The role focuses on stress-testing models, documenting vulnerabilities, and collaborating with researchers to improve alignment and safety in real-world applications.