Identity & Access Management (IAM) Analyst

Alignerr Corp.; Sydney; Remote; AUD 83,000 - 165,000; Full time

Job summary

Alignerr is seeking an Identity & Access Management (IAM) Analyst for AI training. This remote contract role focuses on analyzing IAM, SSO, and access control to identify weaknesses and risk in real-world enterprise environments.

You will classify permission issues, review zero-trust designs, and generate scenarios to train AI models, with 10–40 hours per week and independence to manage your schedule.

Qualifications

• 2+ years of hands-on IAM or enterprise identity platform experience.
• Solid understanding of RBAC, least-privilege principles, and access review processes.
• Familiar with how identity failures occur and how attackers exploit them.
• Able to think analytically about complex access control scenarios and communicate findings clearly.

Responsibilities

• Analyze IAM, SSO, and access control scenarios to identify weaknesses, misconfigurations, and failure points.
• Classify permission issues, privilege escalation paths, and identity-related vulnerabilities.
• 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 feedback that helps AI learn how IAM risk actually emerges and propagates in enterprise environments.

Skills

IAM

SSO

Access control

RBAC

Least privilege

Zero-trust

Tools

Okta

Azure AD

AWS IAM

Job description

Identity & Access Management (IAM) Analyst (AI Training)

Identity is at the heart of modern enterprise security - and when it breaks, the consequences are severe.

We're looking for IAM professionals who understand how identity systems fail in the real world to help train and evaluate cutting-edge AI models built by the world's 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 rare opportunity to apply deep technical knowledge to a high-impact, fully remote contract role.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10-40 hours/week

What You'll Do

• Analyze IAM, SSO, and access control scenarios to identify weaknesses, misconfigurations, and failure points
• Classify permission issues, privilege escalation paths, and identity-related vulnerabilities
• 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 feedback that helps AI learn how IAM risk actually emerges and propagates in enterprise environments

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
• Able to think analytically about complex access control scenarios and communicate findings clearly
• Self-motivated and comfortable working independently on asynchronous, task-based assignments

Nice to Have

• Experience with platforms like Okta, Azure AD, AWS IAM, or similar
• Background in penetration testing, red teaming, or security architecture
• Familiarity with compliance frameworks such as SOC 2, ISO 27001, or NIST
• Prior experience contributing to AI training or evaluation projects

Why Join Us

• Work directly on frontier AI systems with top research labs and teams
• Fully remote and flexible - work on your own schedule, on your own terms
• Freelance perks: autonomy, variety, and collaboration with experts around the world
• Apply your security expertise to a domain that's actively shaping the future of AI
• Potential for ongoing work and contract extension