Remote AI Safety Red Teamer (Contract)

Mercor

San Francisco (CA)

Hybrid

GBP 73,000 - 88,000

Part time

4 days ago
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Job summary

Mercor is seeking an AI Safety Red Teamer for a remote contract role. You will design adversarial prompts to stress-test frontier AI models, identify jailbreaks and unsafe behaviors, and evaluate robustness across sensitive domains.

You will document vulnerabilities and contribute to red-teaming reports alongside AI researchers to improve alignment and safety. The ideal candidate has 5+ years in AI safety or related fields, with strong analytical reasoning and excellent written communication.

Qualifications

  • Bachelor's degree or higher in a related discipline.
  • 5+ years of professional experience in AI Safety, AI Red Teaming, Trust & Safety, or related fields.
  • Experience designing adversarial prompts or evaluating frontier AI systems.
  • Strong analytical reasoning and written communication skills.

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
AI safety

Education

Bachelor's degree

Job description

Mercor is seeking an AI Safety Red Teamer for a remote contract role. You will design adversarial prompts to stress-test frontier AI models, identify jailbreaks and unsafe behaviors, and evaluate robustness across sensitive domains.

You will document vulnerabilities and contribute to red-teaming reports alongside AI researchers to improve alignment and safety. The ideal candidate has 5+ years in AI safety or related fields, with strong analytical reasoning and excellent written communication.

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