Identity & Access Management (IAM) Analyst

Alignerr Corp.; Toronto; Remote; CAD 55,000 - 110,000; Part time

Benefits offered by this job

Autonomy

Flexible schedule

Global collaboration

Job summary

Alignerr Corp. is seeking an Identity & Access Management (IAM) Analyst (AI Training) for a fully remote hourly contract. You will analyze IAM, SSO, and access control scenarios, identify weaknesses, and generate realistic identity security scenarios to train frontier AI systems.

The role requires 2+ years with IAM or related platforms, a solid grasp of RBAC and least-privilege, and strong written communication. Flexible, independent work with potential for ongoing engagements.

Qualifications

• 2+ years with IAM, SSO or enterprise identity platforms.
• Solid understanding of RBAC and least-privilege principles.
• Experience identifying identity failures and attacker techniques.
• Clear written communication and independent, task-based work ethic.

Responsibilities

• Analyze IAM, SSO, and access control scenarios to identify weaknesses.
• Classify permission issues and privilege escalation paths.
• Review zero-trust models and assess access design decisions.
• Generate realistic identity security scenarios to train frontier AI.
• Provide expert feedback on how IAM risks emerge in real environments.

Skills

IAM

SSO

RBAC

Least-Privilege

Access Reviews

Analytical Thinking

Written Communication

Independent Work

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