Identity & Access Management (IAM) Analyst

Alignerr Corp.; Cape Town; On-site; ZAR 678,000 - 1,130,000; Part time

Benefits offered by this job

Autonomy

Global collaboration

Flexible schedule

Job summary

Alignerr Corp. is seeking an Identity & Access Management (IAM) Analyst for AI training tasks. Remote, hourly contract with 10–40 hours per week. You will analyze IAM scenarios, assess RBAC and least privilege, and help AI systems reason about identity risk.

The role requires 2+ years in IAM/SSO, familiarity with Okta/Azure AD/AWS IAM, and the ability to work independently in a remote setting. This freelance position offers flexibility and ongoing collaboration.

Qualifications

• 2+ years of hands-on IAM, SSO, or enterprise identity experience.
• Solid understanding of RBAC and least-privilege principles.
• Familiar with identity failures and attacker techniques in real environments.
• Able to think analytically about complex access-control scenarios and communicate findings clearly.
• Self-motivated, able to work independently in async, remote environments.

Responsibilities

• Analyze 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 for AI training and evaluation.
• Provide structured expert feedback to improve how AI reasons about identity risk.

Skills

IAM expertise

SSO

RBAC

Least privilege

Access reviews

Analytical thinking

Tools

Okta

Azure AD

AWS IAM

SailPoint

Job description

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.

• 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