Identity & Access Management (IAM) Analyst (AI Training) About The Role Identity is at the core of most contemporary security failures — and we're looking for people who truly understand why. At Alignerr, we partner with the world's leading AI research teams to build and train cutting-edge AI models. As an IAM Analyst, you'll apply your real-world security expertise to help AI systems reason accurately about how identity and access risks emerge, escalate, and propagate in enterprise environments.
This is a unique opportunity to put your hands-on security knowledge to work on one of the most impactful technology challenges of our time.
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 failures
Review zero-trust architectures and access design decisions for accuracy and risk
Generate and validate realistic identity security data used to train and evaluate AI systems
Provide structured,
expert feedback that helps AI reason more accurately about enterprise security 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
Strong grasp of how identity failures occur and how attackers exploit them in real environments
Analytical mindset with clear written communication skills
Comfortable working independently and asynchronously on task-based assignments Nice to Have Experience with platforms like Okta, Azure AD, AWS IAM, or similar
Familiarity with zero-trust frameworks and identity governance
Background in cloud security, penetration testing, or security architecture
Prior exposure to AI training or data annotation workflows Why Join Us Work directly on frontier AI systems with leading research labs
Fully remote and flexible — work on your own schedule
Freelance perks: autonomy, variety, and global collaboration
Contribute to meaningful work that shapes how AI understands cybersecurity