Identity & Access Management (IAM) Analyst

Alignerr Corp.

Montreal (administrative region)

A distancia

CAD 55.000 - 96.000

A tiempo parcial

hace 33 horas
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Descripción de la vacante

Alignerr Corp. is seeking an IAM Analyst to help train and evaluate AI models by analyzing real-world identity and access control scenarios.

You will study IAM, SSO, and zero-trust concepts to identify weaknesses and risk in access designs while shaping how AI systems reason about security. Ideal candidates have 2+ years of hands-on IAM experience, familiarity with Okta/Azure AD/Ping/SailPoint, and a strong grasp of RBAC and least-privilege concepts.

Formación

  • 2+ years of hands-on IAM, SSO, or enterprise identity platforms.
  • Solid understanding of RBAC and least-privilege principles; experienced with access review workflows.
  • Familiar with how identity failures occur and how attackers exploit them in real environments.
  • Detail-oriented and able to communicate technical concepts clearly in writing.
  • Self-motivated and comfortable working independently on task-based assignments.

Responsabilidades

  • Analyze IAM, SSO, and access control scenarios to identify weaknesses and misconfigurations.
  • Classify permission issues, privilege escalation paths, and identity-related failure modes.
  • 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 reason more accurately about enterprise security.

Conocimientos

IAM
SSO
RBAC
least-privilege
access review workflows

Herramientas

Okta
Azure AD
Ping
SailPoint

Descripción del empleo

Identity & Access Management (IAM) Analyst (AI Training)
About The Role

Identity is at the root of most modern security breaches - and AI systems need to understand why. We're looking for experienced IAM professionals to help train and evaluate cutting-edge AI models by analyzing real-world identity and access control scenarios.

At Alignerr, we partner with the world's leading AI research labs to build smarter, safer AI. Your hands-on security expertise will directly shape how AI reasons about IAM risk, privilege escalation, and zero-trust architecture.

  • 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 and misconfigurations
  • Classify permission issues, privilege escalation paths, and identity-related failure modes
  • 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 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 workflows
  • Familiar with how identity failures occur and how attackers exploit them in real environments
  • Detail-oriented and able to communicate technical concepts clearly in writing
  • Self-motivated and comfortable working independently on task-based assignments
Nice to Have
  • Experience with platforms like Okta, Azure AD, Ping, or SailPoint
  • Background in penetration testing, red teaming, or security architecture
  • Familiarity with compliance frameworks such as SOC 2, ISO 27001, or NIST
  • Prior experience with AI, data labeling, or model evaluation workflows
Why Join Us
  • Work directly on frontier AI systems with top research labs
  • Fully remote and flexible - work on your own schedule
  • Freelance autonomy: choose your hours, work from anywhere
  • Meaningful impact: your expertise helps build AI that understands security the right way
  • Potential for ongoing work and contract extension
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