10a Labs
RedTeamingFellowship
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Red Teaming Fellowship at 10a Labs. Skills: AI safety, Cybersecurity, Red teaming. Conduct adversarial testing of AI systems. Design and execute red teaming exercises”
Industry & Context.
Problem-solving skills
What They're Looking For.
Must Have
Pursuing or recently completed a degree in Computer Science, Cybersecurity, Engineering, Data Science, Mathematics, Political Science, International Relations, or a related field, 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., 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 Have
Experience with Python, Bash, large language models, AI systems, cybersecurity, or research methodologies, Proficiency in a language other than English
What You'll Do.
Conduct adversarial testing of AI systems
Design and execute red teaming exercises
Identify vulnerabilities and failure modes
Analyze model behavior
Document findings in reports
Support development of evaluation frameworks
Research emerging AI threats
Investigate emerging risks and threat vectors
Develop front-end dashboards and visualizations
How You'll Work.
Team & Collaboration
Alongside researchers; Alongside engineers; Alongside subject-matter experts; Collaborate with engineers; Collaborate with researchers; Collaborate with subject-matter experts
Communication Scope
Actionable reports
Full Job Description
About 10a Labs: 10a Labs is the safety and threat-intelligence layer trusted by frontier AI labs, AI unicorns, Fortune 10 companies, and leading global technology platforms. Our adversarial red teaming, model evaluations, and intelligence collection enable engineering, safety, and security teams to stay ahead of evolving threats and deploy AI systems safely. 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 jailbre
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