Red Teaming Fellowship

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