Remote IAM Analyst for AI Security Training

Alignerr Corp.; Región Centro; Remote; MXN 641,000 - 1,538,000; Part time

Benefits offered by this job

Autonomy

Variety

Global collaboration

Job summary

Alignerr is seeking an Identity & Access Management (IAM) Analyst to help train and evaluate AI models. This remote hourly-contract role offers flexible hours from 10 to 40 per week, enabling you to work on realistic IAM scenarios that reflect real-world enterprise environments.

You will analyze IAM, SSO, and access control challenges, identify misconfigurations, and provide expert feedback to help AI systems understand how IAM risk emerges and propagates.

Qualifications

• 2+ years hands-on IAM, SSO, or enterprise identity platform experience.
• Solid understanding of RBAC and least-privilege principles.
• Familiar with identity failures and how attackers exploit them.
• Able to articulate reasoning on access control design clearly.
• Detail-oriented and capable of handling complex security scenarios.
• No prior AI experience required—security knowledge matters.

Responsibilities

• Analyze IAM, SSO, and access control scenarios to identify weaknesses and misconfigurations.
• Classify permission issues, privilege escalation paths, and identity vulnerabilities.
• Review zero-trust architectures for correctness and risk.
• Generate and validate realistic identity security scenarios to train AI systems.
• Provide expert-level feedback shaping how AI reasons about enterprise security.
• Work independently and asynchronously on your schedule.

Skills

IAM

SSO

RBAC

Least-privilege

Access reviews

Zero-trust

Security architecture

Tools

Azure AD

Okta

AWS IAM

Google Cloud Identity

Job description

Alignerr is seeking an Identity & Access Management (IAM) Analyst to help train and evaluate AI models. This remote hourly-contract role offers flexible hours from 10 to 40 per week, enabling you to work on realistic IAM scenarios that reflect real-world enterprise environments.

You will analyze IAM, SSO, and access control challenges, identify misconfigurations, and provide expert feedback to help AI systems understand how IAM risk emerges and propagates.