Identity sits at the heart of most modern security failures — and the next generation of AI systems needs to understand why. We're looking for experienced IAM professionals to help train and evaluate cutting-edge AI models by working through realistic enterprise identity and access scenarios.
This is a unique opportunity to put your security expertise to work at the frontier of AI development, partnering with world-leading research labs to make AI smarter about how IAM risk actually emerges and propagates in real environments.
Analyze IAM, SSO, and access control scenarios to identify weaknesses, misconfigurations, and failure points
Classify permission issues, privilege escalation paths, and identity-related vulnerabilities
Review zero-trust architectures and access design decisions for correctness and risk
Generate and validate realistic identity security scenarios used to train and evaluate AI systems
Provide structured, expert-level feedback that directly shapes how AI reasons about enterprise security
Work independently and asynchronously on your own schedule
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 practice and how attackers exploit them
Able to think critically about access control design and articulate reasoning clearly
Detail-oriented and comfortable working through complex, realistic security scenarios
No prior AI experience required — your security knowledge is what matters
Nice to Have
Experience with cloud identity platforms (Azure AD, Okta, AWS IAM, Google Cloud Identity)
Familiarity with zero-trust frameworks or PAM solutions
Background in penetration testing, red teaming, or security arch