Identity & Access Management (IAM) Analyst

Alignerr Corp.; Manchester; Remote; GBP 55,000 - 96,000; Full time

Job summary

Alignerr is seeking an IAM Analyst (AI Training) for a remote, hourly contract to help shape how AI models understand identity and security risks. You will analyze IAM, SSO, and access control scenarios to identify weaknesses and risks, contributing to cutting-edge AI research projects.

Your hands-on experience with RBAC, least-privilege, and identity workflows will guide how training data and models learn about real-world IAM failures, with flexible hours and project-based engagement.

Qualifications

• 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 practice.
• Detail‑oriented and comfortable working through complex, multi‑layered access scenarios.
• Able to work independently and deliver structured, high‑quality analysis.

Responsibilities

• Analyze realistic IAM, SSO, and access control scenarios to identify weaknesses, misconfigurations, and failure points
• Classify permission issues, privilege escalation paths, and identity‑related vulnerabilities
• 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 learn how IAM risk actually emerges and propagates in enterprise environments

Skills

IAM & SSO

RBAC & least-privilege

Identity workflows

Analytical thinking

Independent worker

Tools

Okta

Azure AD

AWS IAM

Job description

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

About The Role

Identity is at the heart of modern enterprise security — and also at the heart of most major breaches. We're looking for IAM professionals who understand how identity systems fail in the real world to help train and evaluate cutting‑edge AI models being built by the world's leading AI research labs. Your hands‑on experience with access control, privilege management, and identity architecture will directly shape how AI reasons about security risk — making this one of the most impactful ways you can apply your expertise right now.

• 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 failure points
• Classify permission issues, privilege escalation paths, and identity‑related vulnerabilities
• 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 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 workflows
• Familiar with how identity failures occur and how attackers exploit them in practice
• Detail‑oriented and comfortable working through complex, multi‑layered access scenarios
• Able to work independently and deliver structured, high‑quality analysis

Nice to Have

• Experience with platforms like Okta, Azure AD, AWS IAM, or similar
• Background in penetration testing, red teaming, or identity threat modeling
• Familiarity with compliance frameworks such as SOC 2, ISO 27001, or NIST
• Prior work in cloud security or DevSecOps environments

Why Join Us

• Work on frontier AI systems alongside top research labs and teams
• Fully remote and flexible — work on your own schedule, on your own terms
• Freelance autonomy: no meetings, no micromanagement, task‑based work that fits your life
• Contribute to AI development in a domain — cybersecurity — that genuinely matters
• Potential for ongoing work and contract extension as projects grow