Identity & Access Management (IAM) Analyst

Alignerr

España

Remote

EUR 55,000 - 110,000

Full time

2 days ago
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Job summary

Alignerr is seeking an IAM Analyst (AI Training) to analyze enterprise identity scenarios for AI training. You will identify weaknesses in IAM, SSO, and access controls, classify privilege escalation risks, and evaluate zero-trust designs.

You’ll generate realistic identity data and provide expert feedback to improve AI reasoning about security. The role is remote, freelance hourly and offers flexible scheduling across regions, with potential for ongoing engagements as AI training programs

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 in real environments and how attackers exploit them.
  • Able to articulate complex security concepts clearly in writing.
  • Self-motivated and comfortable working independently on task-based assignments.

Responsibilities

  • Analyze realistic IAM, SSO, and access control scenarios to identify weaknesses, misconfigurations, and exploitable paths.
  • Classify permission issues, privilege escalation vectors, and identity-related failures with precision.
  • Evaluate zero-trust models and access design decisions for correctness and risk.
  • Generate and validate realistic identity security data used to train and benchmark AI systems.
  • Provide structured expert feedback that directly shapes how AI reasons about enterprise security.

Skills

IAM
SSO
RBAC
Access reviews
Identity platforms

Tools

Okta
Azure AD
Ping Identity

Job description

Identity & Access Management (IAM) Analyst (AI Training)

Identity is at the core of most modern enterprise security failures — and the AI systems of tomorrow need to understand why. We're partnering with leading AI research labs to find IAM specialists who can help train and evaluate cutting-edge AI models on real-world identity and access security scenarios. If you've spent time in the trenches of enterprise identity — debugging SSO misconfigurations, reviewing access control policies, or mapping privilege escalation paths — your expertise is exactly what's needed to make AI smarter about security.

  • Organization: Alignerr
  • Type: Hourly Contract
  • Location: Remote
  • Commitment: 10–40 hours/week
What You'll Do
  • Analyze realistic IAM, SSO, and access control scenarios to identify weaknesses, misconfigurations, and exploitable paths
  • Classify permission issues, privilege escalation vectors, and identity-related failures with precision
  • Evaluate zero-trust models and access design decisions for correctness and risk
  • Generate and validate realistic identity security data used to train and benchmark AI systems
  • Provide structured expert feedback that directly shapes how AI reasons 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 processes
  • Familiar with how identity failures occur in real environments and how attackers exploit them
  • Able to articulate complex security concepts clearly in writing
  • Self-motivated and comfortable working independently on task-based assignments
Nice to Have
  • Experience with identity platforms such as Okta, Azure AD, Ping, or similar
  • Background in cloud IAM (AWS, GCP, Azure)
  • Familiarity with zero-trust architecture frameworks
  • Prior experience in security consulting, red teaming, or access governance
Why Join Us
  • Work directly on frontier AI systems alongside top-tier research labs
  • Fully remote and flexible — work on your schedule, from anywhere
  • Freelance autonomy with meaningful, intellectually engaging work
  • Contribute to AI that understands enterprise security the way real practitioners do
  • Potential for ongoing work and contract extension
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