Remote IAM Analyst for AI Security Training

Alignerr Corp.; Johannesburg; À distance; ZAR 454 000 - 907 000; Temps partiel

Avantages offerts par ce poste

Fully remote

Flexible schedule

Global collaboration

Contract extension potential

Résumé du poste

Alignerr is seeking an IAM Analyst for AI training to analyze realistic IAM and access control scenarios, identify weaknesses, and provide expert feedback to improve AI reasoning on security topics.

You will work remotely on flexible, independent hours (10–40 hours per week) with no required AI background, leveraging your practical IAM experience to shape how AI systems reason about identity risk, RBAC, and zero-trust design.

Qualifications

• 2+ years of hands-on IAM, SSO, or enterprise identity platform experience.
• Solid understanding of RBAC and least-privilege principles.
• Familiarity with how identity failures occur in real environments and how attackers exploit them.
• Ability to evaluate access scenarios from defender and attacker perspectives.

Responsabilités

• Analyze realistic IAM, SSO, and access control scenarios to identify weaknesses and misconfigurations.
• Classify permission issues, privilege escalation paths, and identity-related failures.
• Evaluate zero-trust models and 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 to improve AI reasoning on security topics.
• Work independently and asynchronously on your own schedule.

Connaissances

IAM expertise

RBAC, least-privilege

Access reviews

Threat modelling mindset

Outils

Okta

Azure AD

AWS IAM

Description du poste

Alignerr is seeking an IAM Analyst for AI training to analyze realistic IAM and access control scenarios, identify weaknesses, and provide expert feedback to improve AI reasoning on security topics.

You will work remotely on flexible, independent hours (10–40 hours per week) with no required AI background, leveraging your practical IAM experience to shape how AI systems reason about identity risk, RBAC, and zero-trust design.