Red Teaming Fellowship

About the role: As a Red Teaming Fellow, you will help evaluate the safety, security, and reliability of advanced AI systems. Fellows work alongside researchers, engineers, and subject-matter experts to identify vulnerabilities, uncover failure modes, and generate insights that help organizations deploy AI systems more safely.

This is a hands-on fellowship at the intersection of AI, security, and adversarial testing. Fellows will contribute to real-world evaluations of frontier models and AI-enabled systems, helping design and execute tests that probe how models behave under challenging or unexpected conditions.

In this role, you will:

• Conduct adversarial testing of AI systems across safety, security, and misuse scenarios
• Design and execute red teaming exercises against models, agents, and AI-enabled applications
• Develop prompts, attack strategies, and test cases to identify vulnerabilities and failure modes
• Analyze model behavior and document findings in clear, actionable reports
• Support the development of evaluation frameworks, taxonomies, and testing methodologies
• Research emerging AI threats, attack techniques, and risk trends
• Collaborate with engineers, researchers, and subject-matter experts to investigate emerging risks and threat vectors

• Develop front-end dashboards and other visualizations

Qualifications:

• Pursuing or recently completed a degree in Computer Science, Cybersecurity, Engineering, Data Science, Mathematics, Political Science, International Relations, or a related field
• Strong interest in AI safety, cybersecurity, red teaming, or adversarial testing
• Familiarity with AI abuse including jailbreaking, system prompt extraction, indirect prompt injection, data exfiltration, etc.
• Strong analytical, research, problem-solving, and communication skills
• Ability to think creatively from an adversarial perspective
• Ability to work independently and collaboratively in a remote environment
• Experience with Python, Bash, large language models, AI systems, cybersecurity, or research methodologies preferred
• Proficiency in a language other than English preferred

Benefits:

• Flexible start / end dates
• Remote work (based in the continental U.S.)
• Flexible schedule, up to 20 hours per week (negotiable)
• Hourly pay commensurate with experience and qualifications

• $25 per hour for undergraduate students
• $32.50 per hour for graduate students