Identity is at the core of most modern enterprise security failures — and the AI systems of tomorrow need to understand why. We're partnering with leading AI research labs to find IAM specialists who can help train and evaluate cutting-edge AI models on real-world identity and access security scenarios.
If you've spent time in the trenches of enterprise identity — debugging SSO misconfigurations, reviewing access control policies, or mapping privilege escalation paths — your expertise is exactly what's needed to make AI smarter about security.
- Analyze realistic IAM, SSO, and access control scenarios to identify weaknesses, misconfigurations, and exploitable paths
- Classify permission issues, privilege escalation vectors, and identity-related failures with precision
- Evaluate zero-trust models and access design decisions for correctness and risk
- Generate and validate realistic identity security data used to train and benchmark AI systems
- Provide structured expert feedback that directly shapes how AI reasons about enterprise security
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
- Familiar with how identity failures occur in real environments and how attackers exploit them
- Able to articulate complex security concepts clearly in writing
- Self-motivated and comfortable working independently on task-based assignments
Nice to Have
- Experience with identity platforms such as Okta, Azure AD, Ping, or similar
- Background in cloud IAM (AWS, GCP, Azure)
- Familiarity with zero-trust architecture frameworks
- Prior experience in security consulting, red teaming, or access governance
Why Join Us
- Work directly on frontier AI systems alongside top-tier research labs
- Fully remote and adaptable — work on your schedule, from anywhere
- Freelance autonomy with meaningful, intellectually engaging work
- Contribute to AI that understands enterprise security the way real practitioners do
- Potential for ongoing work and contract extension