Summary
10a Labs is a safety and threat-intelligence company focused on helping organizations deploy AI systems safely. The Red Teaming Fellow will evaluate the safety, security, and reliability of advanced AI systems by conducting adversarial tests, identifying vulnerabilities and failure modes, and documenting actionable findings. The role also involves developing evaluation methodologies, researching emerging AI threats, collaborating with experts, and creating dashboards and visualizations.
Responsibilities
- 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
Skills
- 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
Qualifications
Must Haves
- 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
Nice to Haves
- 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 continentalU.S.)
- Flexible schedule, up to 20 hours per week (negotiable)