Identity & Access Management (IAM) Analyst

Alignerr Corp.; Atlanta (GA); Remote; USD 55,000 - 83,000; Part time

Job summary

Alignerr Corp. is seeking an Identity & Access Management (IAM) Analyst to help train and evaluate AI systems on real-world identity and access risks. The role centers on analyzing IAM, SSO, and access control weaknesses and providing structured feedback to improve AI reasoning about security.

Work is remote, hourly contract, with 10-40 hours per week. Candidates should have hands-on IAM experience and familiarity with platforms like Okta, Azure AD, AWS IAM, and CyberArk.

Qualifications

• 2+ years of hands-on experience with IAM, SSO, or enterprise identity platforms
• Solid understanding of RBAC, least-privilege principles, and access review processes
• Clear grasp of how identity failures occur and how attackers exploit them in real environments

Responsibilities

• Analyze IAM, SSO, and access control scenarios to identify weaknesses, misconfigurations, and attack paths
• Classify permission issues, privilege escalation paths, and identity-related failures
• Review zero-trust architectures and access design decisions for accuracy and risk
• Generate and validate realistic identity security scenarios used to train and evaluate AI systems
• Provide structured expert feedback that helps AI reason more accurately about enterprise security

Skills

IAM

SSO

RBAC

least-privilege

Access review

Tools

Okta

Azure AD

AWS IAM

CyberArk

Job description

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

About The Role

Identity is at the heart of modern enterprise security - and at the heart of some of its most critical failures. We're looking for experienced IAM professionals to help train and evaluate cutting-edge AI systems that reason about real-world identity and access risks.

At Alignerr, we partner with the world's leading AI research teams and labs to build smarter, safer AI. Your expertise in how identity systems break down in real environments will directly shape how AI understands, analyzes, and responds to IAM challenges.

• 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 attack paths
• Classify permission issues, privilege escalation paths, and identity-related failures
• Review zero-trust architectures and access design decisions for accuracy and risk
• Generate and validate realistic identity security scenarios used to train and evaluate AI systems
• Provide structured expert feedback that helps AI reason more accurately about enterprise security

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 processes
• Clear grasp of how identity failures occur and how attackers exploit them in real environments
• Able to articulate complex security concepts in structured, precise written form
• Self-directed and comfortable working asynchronously on task-based projects

Nice to Have

• Experience with platforms such as Okta, Azure AD, AWS IAM, or CyberArk
• Familiarity with zero-trust frameworks and modern identity security standards
• Background in penetration testing, red teaming, or security architecture
• Prior experience contributing to AI training or data annotation projects

Why Join Us

• Work directly on frontier AI systems with top research labs
• Fully remote and flexible - work on your own schedule
• Freelance perks: autonomy, variety, and global collaboration
• Make a meaningful contribution to how AI understands real-world cybersecurity
• Potential for ongoing work and contract extension