Identity & Access Management (IAM) Analyst

Alignerr Corp.; Phoenix (AZ); Remote; USD 55,000 - 124,000; Part time

Benefits offered by this job

Autonomy

Global collaboration

Job summary

Alignerr is seeking an IAM Analyst to help train AI systems by analyzing IAM/Sso scenarios, identifying misconfigurations, and supporting zero-trust evaluations. This remote hourly contract role offers flexible hours and a chance to influence frontier AI models.

You will generate and validate identity security data for AI training, provide expert feedback, and collaborate with privacy and security teams on real-world risk. Remote work, 10-40 hours/week.

Qualifications

• 2+ years hands-on experience with IAM, SSO, or enterprise identity platforms.
• Solid understanding of RBAC and least-privilege principles.
• Familiarity with how identity failures occur in real environments and how attackers exploit them.
• Clear written communication skills.
• Self-motivated and comfortable working independently on task-based assignments.

Responsibilities

• Analyze IAM, SSO, and access control scenarios to identify weaknesses.
• Classify permission issues and privilege escalation paths.
• Review zero-trust models and assess access design decisions for correctness and risk.
• Generate and validate identity security data used to train and evaluate AI systems.
• Provide structured, expert-level feedback to help AI reason about IAM risk.

Skills

IAM

SSO

RBAC

Least-privilege

Written communication

Independent work

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 AI needs to understand it deeply. We're partnering with leading AI research labs to build models that genuinely reason about IAM risk, and we need experienced practitioners to make that happen.

If you've spent time in the trenches of identity and access management - diagnosing misconfigurations, reviewing privilege structures, or hardening zero-trust architectures - your expertise can directly shape how the next generation of AI understands enterprise security.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10-40 hours/week

What You'll Do

• 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 data used to train and evaluate AI systems
• Provide structured, expert-level feedback that helps AI reason accurately about IAM risk

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
• Familiarity with how identity failures occur in real environments and how attackers exploit them
• Clear written communication skills - you can explain complex access control concepts concisely
• Self-motivated and comfortable working independently on task-based assignments

Nice to Have

• Experience with identity platforms such as Okta, Azure AD, AWS IAM, or CyberArk
• Exposure to cloud identity, federated authentication, or privileged access management (PAM)
• Background in security engineering, penetration testing, or compliance (SOC 2, ISO 27001)
• Familiarity with AI or data labeling workflows

Why Join Us

• Work on cutting-edge AI projects with top research labs and directly influence frontier AI models
• Fully remote and flexible - work on your own schedule, from anywhere
• Freelance perks: autonomy, variety, and global collaboration
• Make a meaningful contribution to AI that reasons correctly about real-world security
• Potential for ongoing work and contract extension