Identity is at the heart of most modern security failures — and AI needs to understand why. We're partnering with leading AI research labs to build AI systems that can reason accurately about real-world IAM risk. If you know how identity systems break, how privilege escalates, and where access controls fail in practice, your expertise can directly shape the next generation of enterprise security AI.
Analyze realistic IAM, SSO, and access control scenarios to identify weaknesses and misconfigurations
Classify permission issues, privilege escalation paths, and identity-related failure modes
Review zero-trust models and evaluate access design decisions for correctness and risk
Generate and validate realistic identity security data used to train and evaluate AI systems
Provide structured, expert-level feedback that helps AI reason accurately about IAM risk
Who You Are
2+ years of hands-on experience with IAM, SSO, or enterprise identity platforms
Solid understanding of RBAC, least-privilege principles, and access review processes
Familiarity with how identity failures occur and how attackers exploit them
Able to think like both a defender and an attacker when evaluating access scenarios
Detail-oriented and comfortable working independently on task-based assignments
Nice to Have
Experience with platforms like Okta, Azure AD, AWS IAM, or similar
Background in penetration testing, red teaming, or security architecture
Familiarity with zero-trust frameworks or identity governance programs
Experience writing security documentation, threat models, or risk assessments
Why Join Us
Work directly on frontier AI systems with top research labs
Fully remote and flexible — work on your own schedule
Freelance perks: autonomy, variety, and general collaboration
Meaningful work at the intersection of c