Remote Red Teaming Fellow — AI Safety & Testing

10a Labs; Los Angeles (CA); Remote; USD 34,000 - 45,000; Part time

Benefits offered by this job

Flexible start/end dates

Remote work ( continental US )

Flexible schedule up to 20 hours per‑w

Job summary

10a Labs is seeking a Red Teaming Fellow to 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

Qualifications

• Pursuing or recently completed 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

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

AI safety

Red teaming

Adversarial testing

Python

Bash

LLMs

Cybersecurity

Research

Education

Pursuing or recently completed degree in Computer Science, Cybersecurity, Engineering, Data Science, Mathematics, Political Science, International Relations

Tools

Python

Bash

Job description

10a Labs is seeking a Red Teaming Fellow to 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