Frontier AI Safety Red Team Expert

Mercor

Paris

On-site

EUR 90,000 - 130,000

Full time

14 days+

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Job summary

Mercor seeks experienced AI Safety Red Teamers to stress-test frontier AI systems by designing adversarial prompts and uncovering model weaknesses. You will evaluate behavior on high-risk topics and contribute to safety benchmarking with the research team.

Responsibilities include identifying jailbreaks, unsafe behaviours, and policy failures, and documenting vulnerabilities to strengthen alignment and robustness of AI models.

Qualifications

  • Bachelor's degree or higher in CS, cybersecurity, journalism, communications, psychology, biology, chemistry, public policy, or related 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 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.

Skills

Analytical reasoning
Prompt design
Written communication

Education

Bachelor's degree or higher (related discipline)

Job description

Mercor seeks experienced AI Safety Red Teamers to stress-test frontier AI systems by designing adversarial prompts and uncovering model weaknesses. You will evaluate behavior on high-risk topics and contribute to safety benchmarking with the research team.

Responsibilities include identifying jailbreaks, unsafe behaviours, and policy failures, and documenting vulnerabilities to strengthen alignment and robustness of AI models.

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