Identity & Access Management (IAM) Analyst

Alignerr Corp.; Toronto; Remote; CAD 55,000 - 96,000; Part time

Job summary

Alignerr is seeking an IAM Analyst for AI training to analyze IAM/SSO configurations, identify risk, and guide secure access designs in real environments.

You will craft realistic identity scenarios for training frontier AI systems, evaluate zero-trust decisions, and provide expert feedback to improve AI understanding of identity risk. This is a remote, hourly contract role with flexible scheduling.

Qualifications

• 2+ years of hands-on IAM/SSO experience.
• Solid understanding of RBAC and least-privilege.
• Familiar with identity failures and attacker techniques.
• Strong written communication and analytical mindset.

Responsibilities

• Analyze IAM, SSO, and access control scenarios to identify weaknesses and risk patterns.
• Classify permission issues, privilege escalation paths, and identity-related failure modes.
• Review zero-trust models and evaluate access design decisions for correctness and security posture.
• Generate realistic identity security scenarios to train frontier AI systems.
• Provide structured feedback to help AI learn how IAM risk emerges and propagates.

Skills

IAM

SSO

RBAC

Least privilege

Communication

Independent work

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 security failures — and we're looking for people who truly understand how and why. At Alignerr, we partner with the world's leading AI research labs to build and train cutting-edge AI models. As an IAM Analyst, your real-world expertise will directly shape how AI reasons about identity risk, access control failures, and enterprise security vulnerabilities.

This is a fully remote, flexible contract role. Work on your own schedule, contribute at your own pace, and make a measurable impact on the future of AI security reasoning.

• 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 risk patterns
• Classify permission issues, privilege escalation paths, and identity-related failure modes
• Review zero-trust models and evaluate access design decisions for correctness and security posture
• Generate and validate realistic identity security scenarios used to train and evaluate frontier AI systems
• Provide structured, expert feedback that helps AI learn how IAM risk actually emerges and propagates in real 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
• Strong analytical mindset with the ability to think like both a defender and an attacker
• Clear written communication skills — you can explain complex security concepts precisely
• Self-motivated and comfortable working independently on task-based assignments

Nice to Have

• Experience with platforms such as Okta, Azure AD, AWS IAM, or SailPoint
• Familiarity with identity governance and privileged access management (PAM)
• Background in cloud security, penetration testing, or security architecture
• Prior experience contributing to AI training, red teaming, or security research

Why Join Us

• Work directly on frontier AI systems alongside top research labs
• Fully remote and asynchronous — work when and where you want
• Freelance perks: autonomy, flexibility, and global collaboration
• Contribute to meaningful work at the intersection of cybersecurity and AI
• Potential for ongoing work and contract extension