About the Role
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.
- 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 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 flexible — 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