Identity & Access Management (IAM) Analyst

Alignerr Corp.; Denver (CO); Remote; USD 55,000 - 110,000; Part time

Benefits offered by this job

Freelance perks: autonomy, variety, &"

Job summary

Alignerr is seeking an Identity & Access Management (IAM) Analyst to help train and evaluate cutting-edge AI models by working through enterprise identity scenarios and privilege escalation paths. This remote, hourly contract role focuses on IAM risk analysis and realistic scenario generation to improve AI reasoning about identity security.

You will analyze IAM, SSO, and access control weaknesses, contribute to zero-trust design reviews, and provide expert feedback while working asynchronously

Responsibilities

• Analyze IAM, SSO, and access control scenarios to identify weaknesses, misconfigurations, and design flaws
• Classify permission issues, privilege escalation paths, and real-world identity-related failures
• Review zero-trust models and access design decisions for accuracy and risk implications
• Generate and validate realistic identity security scenarios used to train and evaluate AI systems
• Provide structured, expert feedback that helps AI reason correctly about IAM risk
• Work independently and asynchronously on your own schedule

Job description

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

About The Role

Identity sits at the core of most modern security failures — and the AI systems of tomorrow need to understand why. We're looking for experienced IAM professionals to help train and evaluate cutting-edge AI models by working through realistic enterprise identity scenarios, access control failures, and privilege escalation paths.

Your expertise will directly influence how frontier AI reasons about one of the most critical domains in cybersecurity.

Key Information

• 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 design flaws
• Classify permission issues, privilege escalation paths, and real-world identity-related failures
• Review zero-trust models and access design decisions for accuracy and risk implications
• Generate and validate realistic identity security scenarios used to train and evaluate AI systems
• Provide structured, expert feedback that helps AI reason correctly about IAM risk
• Work independently and asynchronously on your own schedule

Who You Are

• 2+ years of hands-on experience with IAM, SSO, or enterprise identity platforms
• Solid understanding of RBAC, least-privilege models, and access review processes
• Familiar with how identity failures occur in real environments and how attackers exploit them
• Able to clearly articulate security reasoning in written form
• Detail-oriented and comfortable working through complex, realistic scenarios

Nice to Have

• Experience with identity platforms such as Okta, Azure AD, Ping, or CyberArk
• Background in penetration testing, security architecture, or IAM auditing
• Familiarity with compliance frameworks like SOC 2, NIST, or ISO 27001
• Prior experience contributing to AI training or data annotation projects

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
• Put your security expertise to use in a high-impact, emerging field
• Potential for ongoing work and contract extension