Frontier AI Safety Red Team Specialist

Obsidian; København; Remote; DKK 900,000 - 1,400,000; Full time

Job summary

Obsidian is seeking experienced AI Safety Red Teamers to identify vulnerabilities in frontier AI systems through adversarial testing, prompt design, and evaluation across high-risk topics. You will document vulnerabilities and contribute to safety benchmarking and red-teaming reports.

Join a team that collaborates with AI researchers to improve model alignment, robustness, and safety, tackling challenging grey-area scenarios in real-world applications.

Qualifications

• 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.

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

Adversarial prompt design

AI safety / red teaming

Prompt engineering

Written communication

Analytical reasoning

Frontier AI testing

Education

Bachelor's degree or higher in Computer Science, Cybersecurity, Journalism, Communications, Psychology, Biology, Chemistry, Public Policy, or related discipline

Tools

Jailbreak testing

Evaluation methodologies

Job description

Obsidian is seeking experienced AI Safety Red Teamers to identify vulnerabilities in frontier AI systems through adversarial testing, prompt design, and evaluation across high-risk topics. You will document vulnerabilities and contribute to safety benchmarking and red-teaming reports.

Join a team that collaborates with AI researchers to improve model alignment, robustness, and safety, tackling challenging grey-area scenarios in real-world applications.