Identity is at the heart of modern enterprise security — and at the heart of this opportunity. We're looking for experienced IAM professionals to help train and evaluate cutting‑edge AI systems that reason about real‑world identity and access control challenges.
At Alignerr, we partner with the world's leading AI research labs to build smarter, safer AI. Your deep knowledge of how identity systems work — and how they fail — will directly shape the next generation of AI security reasoning.
- Analyze realistic IAM, SSO, and access control scenarios to identify weaknesses and misconfigurations
- Classify permission issues, privilege escalation paths, and identity‑related failure patterns
- Review zero‑trust architectures and access design decisions for accuracy and soundness
- Generate and validate realistic identity security data used to train and evaluate AI models
- Provide structured expert feedback that helps AI systems learn how IAM risk actually emerges and propagates
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
- Detail‑oriented, analytical, and comfortable working independently on task‑based assignments
- Able to communicate complex security concepts clearly in writing
Nice to Have
- Experience with platforms such as Okta, Azure AD, CyberArk, SailPoint, or similar
- Background in penetration testing, red teaming, or security auditing
- Familiarity with compliance frameworks like SOC 2, ISO 27001, or NIST
- Prior experience working with AI systems or data labeling workflows
Why Join Us
- Work directly on frontier AI systems alongside top research labs
- Fully remote and versátil — work on your own schedule
- Freelance perks: autonomy, variety, and global collaboration
- Make a meaningful impact on how AI understands enterprise security
- Potential for ongoing work and contract extension