Identity sits at the core of most modern security failures — and the next generation of AI needs to understand exactly how and why. We're partnering with leading AI research labs to build models that reason about real-world enterprise security, and we need IAM professionals who can bring that expertise to life.
If you've spent time working with identity platforms, diagnosing access control failures, or designing least-privilege architectures, this is your opportunity to put that knowledge to work on something genuinely cutting-edge.
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 privilege escalation paths
Classify permission issues and identity-related failures with structured, expert reasoning
Review zero-trust models and evaluate access design decisions for security gaps
Generate and validate realistic identity security data used to train and benchmark AI systems
Help AI understand how identity risk actually emerges and propagates in enterprise environments
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 the real world — and how attackers exploit them
Detail-oriented, systematic, and able to communicate complex security concepts clearly in writing
Self-motivated and comfortable working independently on async, task-based assignments
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