Remote AI Safety Red Team Fellow (Part-Time)

Ai Safety; Washington (District of Columbia); Hybrid; USD 34,000 - 44,000; Part time

Benefits offered by this job

Remote work

Flexible schedule

20 hours per week

Job summary

10a Labs is seeking a Red Teaming Fellow to evaluate the safety, security, and reliability of advanced AI systems. Fellows work with researchers, engineers, and subject‑matter experts to identify vulnerabilities, uncover failure modes, and generate insights that help organizations deploy AI systems more safely.

This hands-on fellowship sits at the intersection of AI, security, and adversarial testing. Fellows will contribute to real-world evaluations of frontier models and AI-enabled systems,

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 jailbreaking, system prompt extraction, indirect prompt injection, data exfiltration, etc.

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

Analytical thinking

Research skills

Communication skills

Adversarial thinking

Education

Bachelor’s or Master’s degree in CS/CS-related field

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 with researchers, engineers, and subject‑matter experts to identify vulnerabilities, uncover failure modes, and generate insights that help organizations deploy AI systems more safely.

This hands-on fellowship sits at the intersection of AI, security, and adversarial testing. Fellows will contribute to real-world evaluations of frontier models and AI-enabled systems,