Overview
Identity & Access Management (IAM) Analyst Jobs in Cape Town, Western Cape, South Africa at Alignerr
Title: Identity & Access Management (IAM) Analyst
Company: Alignerr
Location: Cape Town, Western Cape, South Africa
Identity & Access Management (IAM) Analyst (AI Training)
About The Role
Identity is at the heart of modern enterprise security — and at the heart of most modern breaches. At Alignerr, we partner with the world's leading AI research labs to build and evaluate cutting-edge AI models. We're looking for IAM professionals who understand how identity systems fail in the real world and can help AI reason about those failures accurately.
This is a rare opportunity to take your hands-on security expertise beyond the enterprise and directly shape how next-generation AI understands access control, privilege escalation, and identity risk.
- 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 models and evaluate access design decisions for correctness and risk
- Generate and validate realistic identity security data used to train and evaluate AI systems
- Provide structured expert feedback that directly improves how AI reasons about enterprise identity risk
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 and how attackers exploit them in real environments
- Able to think analytically about complex access control scenarios and communicate findings clearly
- Self-motivated and comfortable working independently in an async, remote environment
Nice to Have
- Experience with platforms such as Okta, Azure AD, AWS IAM, or SailPoint
- Familiarity with identity threat models, zero-trust architecture, or PAM solutions
- Background in security engineering, cloud security, or penetration testing
- Prior experience contributing to AI training, red-teaming, or security research
Why Join Us
- Work directly on frontier AI systems with top research labs worldwide
- Fully remote and flexible — work on your own schedule
- Freelance perks: autonomy, variety, and global collaboration
- Contribute to meaningful work that makes AI systems safer and more security-aware
- Potential for ongoing work and contract extension