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Identity & Access Management; IAM) Analyst

Job in Vancouver, BC, Canada
Listing for: Alignerr
Full Time position Listed on 2026-11-10
Job specializations:
  • IT/Tech
    Cybersecurity, Information Security & Data Protection, Security Management & Operations, AI Evaluation

Job Description & How to Apply Below

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.

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 Sail Point

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
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