Identity & Access Management; IAM Analyst

Identity & Access Management (IAM) Analyst (AI Training)

About the Role:

Identity sits at the core of most modern enterprise security failures – and AI needs to understand exactly how and why. We’re partnering with leading AI research labs to build smarter, more security‑aware AI systems, and we need IAM professionals who can think like both defenders and attackers.

You’ll work on realistic, challenging identity and access scenarios that help frontier AI models reason accurately about IAM risk, privilege escalation, and access control design. Your real‑world expertise directly shapes how the next‑generation of AI understands enterprise security.

• Organization
  :
  Alignerr
• Type
  :
  Hourly Contract
• Location
  :
  Remote
• Commitment
  : 10–40 hours/week

• Analyze IAM, SSO, and access control scenarios to identify weaknesses, gaps, and misconfigurations.
• Classify permission issues, privilege escalation paths, and identity‑related failure patterns.
• Review zero‑trust architectures and access design decisions, providing expert‑level assessment.
• Generate and validate realistic identity security scenarios used to train and evaluate AI systems.
• Provide structured feedback that helps AI reason accurately about how identity threats emerge and propagate.
• Work independently and asynchronously on task‑based assignments at your own pace.

• 2+ years of hands‑on experience with IAM, SSO, or enterprise identity platforms.
• Solid understanding of RBAC, least‑privilege models, and access review processes.
• Familiar with how identity failures occur in real environments and how attackers exploit them.
• Able to clearly articulate complex security concepts in written form.
• Detail‑oriented, self‑motivated, and comfortable working without close supervision.

• Experience with identity platforms such as Okta, Azure AD, Ping Identity, or SailPoint.
• Background in penetration testing, red teaming, or security architecture.
• Familiarity with cloud IAM models (AWS IAM, GCP, Azure RBAC).
• Experience writing security documentation, threat models, or access control policies.

• Work directly on frontier AI systems with leading AI research labs.
• Fully remote and flexible – work on your schedule, from anywhere.
• Freelance autonomy with meaningful, intellectually engaging work.
• Contribute to AI systems that need to reason about real‑world security – your expertise makes them better.
• Potential for ongoing work and contract extension.