IAM Analyst for AI Security Training (Remote)

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

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.