Identity sits at the core of most modern enterprise security failures — and we need experts who truly understand why. At Alignerr, we partner with the world's leading AI research labs to build and train cutting-edge AI models. As an IAM Analyst, your real-world security expertise will directly shape how AI systems reason about identity risks, access control failures, and privilege abuse in enterprise environments.
This is a rare opportunity to put your hands-on IAM knowledge to work on something bigger: teaching the next generation of AI to think like a seasoned security skilled.
Analyze IAM, SSO, and access control scenarios to identify weaknesses, misconfigurations, and risk patterns
Classify permission issues, privilege escalation paths, and identity-related security failures
Review zero-trust architecture models and evaluate access design decisions
Generate and validate realistic identity security scenarios used to train and evaluate AI systems
Provide structured, expert feedback that directly improves how AI models understand 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 (e.g., Okta, Azure AD, AWS IAM, CyberArk)
Solid understanding of RBAC, least-privilege principles, and access review processes
Familiarity with how identity failures occur in real environments and how attackers exploit them
Ability to articulate complex access control concepts clearly in written form
Detail-oriented, self-motivated, and comfortable working independently
Nice to Have
Experience with privileged access management (PAM) or identity governance
Familiarity with frameworks such as NIST, ISO 27001, or Zero Trust Architecture
Background in penetration testing or threat model