Identity & Access Management; IAM) Analyst

Identity is at the heart of most modern security failures — and AI needs to understand why. We're partnering with leading AI research labs to build AI systems that can reason accurately about real-world IAM risk. If you know how identity systems break, how privilege escalates, and where access controls fail in practice, your expertise can directly shape the next generation of enterprise security AI.

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

• Analyze realistic IAM, SSO, and access control scenarios to identify weaknesses and misconfigurations
• Classify permission issues, privilege escalation paths, and identity-related failure modes
• Review zero-trust models and evaluate access design decisions for correctness and risk
• Generate and validate realistic identity security data used to train and evaluate AI systems
  
  Provide structured, expert-level feedback that helps AI reason accurately about IAM risk

• 2+ years of hands‑on experience with IAM, SSO, or enterprise identity platforms
• Solid understanding of RBAC, least-privilege principles, and access review processes
• Familiarity with how identity failures occur and how attackers exploit them
• Able to think like both a defender and an attacker when evaluating access scenarios
• Detail-oriented and comfortable working independently on task-based assignments

• Experience with platforms like Okta, Azure AD, AWS IAM, or similar
• Background in penetration testing, red teaming, or security architecture
• Familiarity with zero-trust frameworks or identity governance programs
• Experience writing security documentation, threat models, or risk assessments

• Work directly on frontier AI systems with top research labs
• Fully remote and flexible — work on your own schedule
• Freelance perks: autonomy, variety, and global collaboration
• Meaningful work at the intersection of cybersecurity and AI
• Potential for ongoing work and contract extension