Identity & Access Management (IAM) Analyst (AI Training) About The Role 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.
Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10-40 hours/week What You'll Do 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 flex