About The Role
Identity is at the core of most modern 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 chance 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
• Potential for ongoing work and contract extension