Remote IAM Analyst for AI Security and Risk Training

Alignerr Corp.; Dallas (TX); Remote; USD 34,000 - 62,000; Part time

Job summary

Alignerr is seeking an Identity & Access Management (IAM) Analyst focused on AI training to help secure frontier research and enterprise environments. You will analyze IAM scenarios, assess SSO configurations, map potential attack paths, and document gaps in access controls to guide defensive design.

This remote, hourly role offers 10–40 hours per week with flexible scheduling for async collaboration. You’ll contribute to training data that shapes how AI systems understand identity risk, while

Qualifications

• 2+ years hands-on IAM, SSO, or enterprise identity experience.
• Solid understanding of RBAC, least-privilege, and access reviews.
• Knowledge of how identity failures occur and attackers exploit them.
• Analytical and detail-oriented; can spot misconfigurations.
• Clear written communicator for concise security explanations.
• Self-motivated and comfortable working asynchronously in a remote setting.

Responsibilities

• Analyze IAM, SSO, and access control scenarios to identify weaknesses.
• Classify permission issues and privilege escalation vectors.
• Review zero-trust models and access design decisions for risk.
• Generate realistic identity security data for AI training.
• Provide expert feedback on how AI reasons about identity risk.

Skills

IAM

SSO

RBAC

Least privilege

Access reviews

Analytical

Written communication

Remote work

Tools

Okta

Azure AD

AWS IAM

Job description

Alignerr is seeking an Identity & Access Management (IAM) Analyst focused on AI training to help secure frontier research and enterprise environments. You will analyze IAM scenarios, assess SSO configurations, map potential attack paths, and document gaps in access controls to guide defensive design.

This remote, hourly role offers 10–40 hours per week with flexible scheduling for async collaboration. You’ll contribute to training data that shapes how AI systems understand identity risk, while