Frontier AI Safety Red Team Expert

Mercor

Viseu

On-site

EUR 70,000 - 100,000

Full time

9 days ago

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Job summary

Mercor is seeking an experienced professional to advance frontier AI safety through adversarial testing and red-teaming initiatives in Portugal. You will design challenging prompts, uncover model weaknesses, and assess AI behavior across high-risk, ambiguous topics, contributing to safety benchmarks and cross-disciplinary collaboration with AI researchers.

The role emphasizes rigorous analysis, documentation of vulnerabilities, and proactive engagement with safety teams to strengthen model

Qualifications

  • Must have strong analytical reasoning and prompt design abilities.
  • Excellent written communication skills.
  • Experience designing adversarial prompts or evaluating frontier AI systems.

Responsibilities

  • Identify vulnerabilities in frontier AI systems through adversarial testing.
  • 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

Adversarial prompt design
Analytical reasoning
Written communication
Frontier AI evaluation

Education

Bachelor's degree or higher in CS/Cybersecurity/Journalism/Communications/Policy

Job description

Mercor is seeking an experienced professional to advance frontier AI safety through adversarial testing and red-teaming initiatives in Portugal. You will design challenging prompts, uncover model weaknesses, and assess AI behavior across high-risk, ambiguous topics, contributing to safety benchmarks and cross-disciplinary collaboration with AI researchers.

The role emphasizes rigorous analysis, documentation of vulnerabilities, and proactive engagement with safety teams to strengthen model

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