Remote IAM Analyst for AI Security Training

Alignerr Corp.

Chicago (IL)

Remote

USD 55,000 - 96,000

Part time

8 hours ago
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Benefits offered by this job

Autonomy
Variety of projects
Global expert collaboration

Job summary

Alignerr Corp. is seeking an Identity & Access Management (IAM) Analyst for AI training. Remote, hourly contract with 10–40 hours/week. You will analyze IAM/SOA scenarios, classify risks, and validate zero-trust designs to help train and evaluate AI systems on real-world identity issues.

You'll review access design decisions, generate training data, and communicate expert findings to improve AI understanding of privilege escalation and access failures.

Qualifications

  • 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 in real environments.
  • Able to think through complex access scenarios methodically and communicate findings clearly.
  • Self-motivated and comfortable working independently on task-based assignments.

Responsibilities

  • Analyze IAM, SSO, and access control scenarios to identify weaknesses, misconfigurations, and exploitable paths.
  • Classify permission issues, privilege escalation risks, and identity-related failures with structured reasoning.
  • Review zero-trust models and access design decisions for correctness and best practices.
  • Generate and validate realistic identity security data used to train and evaluate AI systems.
  • Provide clear, expert-level explanations that help AI learn how IAM risk actually emerges and propagates.

Skills

IAM
SSO
RBAC
least-privilege
communication
independent work

Tools

Okta
Azure AD
SailPoint

Job description

Alignerr Corp. is seeking an Identity & Access Management (IAM) Analyst for AI training. Remote, hourly contract with 10–40 hours/week. You will analyze IAM/SOA scenarios, classify risks, and validate zero-trust designs to help train and evaluate AI systems on real-world identity issues.

You'll review access design decisions, generate training data, and communicate expert findings to improve AI understanding of privilege escalation and access failures.

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