Identity & Access Management (IAM) Analyst

Alignerr; Vancouver; Remote; CAD 77,000 - 115,000; Part time

Benefits offered by this job

Fully remote

Freelance perks: autonomy, variety, & 

Job summary

Alignerr is seeking an IAM Analyst to join its AI training initiatives. You will apply real-world IAM and access control expertise to help AI systems reason about identity risks in enterprise environments.

The role is remote, hourly, and contract-based, offering flexible hours and opportunities for ongoing work with leading AI research teams. Ideal candidates have hands-on IAM experience and strong communication skills.

Qualifications

• 2+ years of hands-on IAM/SSO experience.
• Strong understanding of RBAC and least-privilege concepts.
• Analytical thinker with strong written communication and the ability to work asynchronously.

Responsibilities

• Analyze IAM, SSO, and access control scenarios to identify weaknesses.
• Classify permission issues and privilege escalation paths.
• Review zero-trust architectures for accuracy and risk.
• Generate and validate identity security data for AI training.
• Provide expert feedback to help AI reason about enterprise security.

Skills

IAM/SSO experience

RBAC & least-privilege

Analytical communication

Tools

Okta

Azure AD

AWS IAM

Job description

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

About The Role

Identity is at the core of most modern security failures — and we're looking for people who truly understand why. At Alignerr, we partner with the world's leading AI research teams to build and train cutting-edge AI models. As an IAM Analyst, you'll apply your real-world security expertise to help AI systems reason accurately about how identity and access risks emerge, accelerate, and propagate in enterprise environments.

• 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 failures
• Review zero-trust architectures and access design decisions for accuracy and risk
• Generate and validate realistic identity security data used to train and evaluate AI systems
• Provide structured, expert feedback that helps AI reason more accurately about enterprise security

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
• Strong grasp of how identity failures occur and how attackers exploit them in real environments
• Analytical mindset with clear written communication skills
• Comfortable working independently and asynchronously on task-based assignments

Nice to Have

• Experience with platforms like Okta, Azure AD, AWS IAM, or similar
• Familiarity with zero-trust frameworks and identity governance
• Background in cloud security, penetration testing, or security architecture
• Prior exposure to AI training or data annotation workflows

Why Join Us

• Work directly on frontier AI systems with leading research labs
• Fully remote and flexible — work on your own schedule
• Freelance perks: autonomy, variety, and global collaboration
• Contribute to meaningful work that shapes how AI understands cybersecurity
• Potential for ongoing work and contract extension