Identity & Access Management (IAM) Analyst

Résumé du poste

Analyze IAM and access control scenarios to identify security weaknesses and misconfigurations for AI training. Generate and validate realistic identity security scenarios to help AI models reason about enterprise security risk.

Détails du poste

Identity & Access Management (IAM) Analyst (AI Training) About The Role Identity is at the heart of modern enterprise security — and when it breaks, the consequences are severe. We're looking for IAM professionals who deeply understand how identity systems fail in the real world to help train and evaluate cutting-edge AI models being developed by leading AI research labs. Your expertise in access control, privilege escalation, and zero-trust architecture will directly shape how AI reasons about enterprise security risk. This is a unique opportunity to apply your security knowledge at the frontier of AI development. Organization: Alignerr Type: Hourly Contract Location: Fully Remote Commitment: 10–40 hours/week What You'll Do Analyze realistic IAM, SSO, and access control scenarios to identify weaknesses, misconfigurations, and attack paths Classify permission issues, privilege escalation vectors, and identity-related security failures Review zero-trust models and evaluate access design decisions for correctness and risk Generate and validate realistic identity security scenarios used to train and benchmark AI systems Provide structured, expert-level feedback that helps AI learn how IAM risk actually emerges and propagates Who You Are 2+ years of hands-on experience with IAM, SSO, or enterprise identity platforms (e.g., Okta, Azure AD, Ping, CyberArk) Solid understanding of RBAC, least-privilege principles, and access review processes Familiar with how identity failures occur in practice and how attackers exploit them Able to think analytically and communicate security concepts clearly in writing Self-directed and comfortable working independently on task-based assignments Nice to Have Experience with cloud identity platforms (AWS IAM, GCP IAM, Azure RBAC) Background in penetration testing, red teaming, or security architecture Familiarity with compliance frameworks like SOC 2, ISO 27001, or NIST Prior experience contributing to AI training or data annotation projects Why Join Us Work directly on frontier AI systems alongside world-class research teams Fully remote and flexible — set your own hours and work at your own pace Freelance autonomy with meaningful, intellectually engaging work Contribute to AI that better understands real-world cybersecurity challenges Potential for ongoing work and contract extension based on performance

Ce que vous ferez

Analyze IAM and access control scenarios to identify security weaknesses and misconfigurations for AI training. Generate and validate realistic identity security scenarios to help AI models reason about enterprise security risk.

Exigences

Requires 2+ years of hands-on experience with enterprise identity platforms and a solid understanding of RBAC and least-privilege principles. Candidates must be able to communicate security concepts clearly in writing and work independently.

Avantages

• Flexible hours • Freelance autonomy • Remote work

Compétences indiquées

• Okta · Souhaitée
• Azure RBAC · Souhaitée

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Identity & Access Management
• Single Sign-On
• Access Control
• Privilege Escalation
• Zero-Trust Architecture
• RBAC
• Least-Privilege Principles
• Okta
• Azure AD
• Ping
• CyberArk
• AWS IAM
• GCP IAM
• Azure RBAC
• Penetration Testing
• Security Architecture

Domaines d’emploi

• Security & Safety
• Technology
• Software
• Data & Analytics
• Consulting