Identity & Access Management (IAM) Analyst

Alignerr; United States; À distance; MXN 551 000 - 771 000; Plein temps

Avantages offerts par ce poste

Fully remote

Freelance perks: autonomy

Global collaboration

Résumé du poste

Alignerr Corp. is seeking an Identity & Access Management (IAM) Analyst to help train AI systems by simulating real-world identity risks and access-control failures.

This is a remote, hourly-contract role with flexible scheduling and a focus on practical security design. You will analyze IAM, SSO, and RBAC scenarios, classify permission issues, review zero-trust models, and generate realistic security narratives used to train and evaluate AI.

Qualifications

• 2+ years hands-on IAM/SSO experience.
• Strong understanding of RBAC and least-privilege.
• Familiar with identity failures and attacker patterns.

Responsabilités

• Analyze IAM, SSO, and access control scenarios to identify weaknesses and misconfigurations.
• Classify permission issues and identity-related failures with structured reasoning.
• Review zero-trust models and access design decisions for correctness.
• Generate and validate realistic identity security scenarios to train AI systems.
• Provide clear, structured feedback that helps AI learn how IAM risk propagates.

Connaissances

IAM

SSO

RBAC

Least-privilege

Access review

Description du poste

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

About The Role

Identity is at the core of most modern security failures — and we're looking for people who truly understand 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, you'll bring your real-world security expertise to shape how AI systems reason about identity risk, access control failures, and enterprise security design.

This is a remote, flexible contract role where your knowledge directly influences the quality and accuracy of next-generation AI.

• 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 privilege escalation paths
• Classify permission issues and identity-related failures with structured, expert reasoning
• Review zero-trust models and access design decisions for correctness and real-world applicability
• Generate and validate realistic identity security scenarios used to train and evaluate AI systems
• Provide clear, structured feedback that helps AI learn how IAM risk actually emerges and propagates in enterprise 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 in practice
• Able to think like both a defender and an adversary when evaluating access scenarios
• Strong written communication — you can explain complex security concepts clearly
• Self-motivated and comfortable working independently on asynchronous tasks

Nice to Have

• Experience with cloud IAM platforms (AWS IAM, Azure AD, Okta, etc.)
• Background in penetration testing, red teaming, or access control audits
• Familiarity with compliance frameworks like SOC 2, ISO 27001, or NIST
• Prior experience in AI evaluation or data annotation workflows

Why Join Us

• Work directly on frontier AI systems with leading research labs
• Fully remote and flexible — work on your own schedule
• Freelance perks: autonomy, variety, and global collaboration
• Your expertise shapes how AI understands and reasons about real-world security
• Potential for ongoing work and contract extension