10a Labs
Red Teaming Fellowship
Washington D.C
Sponsorship not specifiedDetected 47 days ago
PythonBashData ScienceLLMsResearchCommunicationProblem Solving
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.
Responsibilities
- 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
- Collaborate with engineers, researchers, and subject-matter experts to investigate emerging risks and threat vectors
- Develop front-end dashboards and other visualizations
- 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.
Requirements
- Pursuing or recently completed a degree in Computer Science, Cybersecurity, Engineering, Data Science, Mathematics, Political Science, International Relations, or a related field
- Familiarity with AI abuse including jailbreaking, system prompt extraction, indirect prompt injection, data exfiltration, etc.
- Ability to think creatively from an adversarial perspective
- Strong interest in AI safety, cybersecurity, red teaming, or adversarial testing
- Strong analytical, research, problem-solving, and communication skills
- Ability to work independently and collaboratively in a remote environment
Nice to have
- 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
- Flexible schedule, up to 20 hours per week (negotiable)
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