Identity & Access Management (IAM) Analyst

Alignerr; Mumbai; Remote; INR 1,964,000 - 5,238,000; Part time

Benefits offered by this job

Autonomy

Variety

Global collaboration

Fully remote

Job summary

Alignerr is seeking an IAM Analyst (AI Training) to analyze IAM, SSO, and access controls, helping train AI models to recognize identity risks and privilege abuse in enterprise environments.

This remote hourly contract offers 10–40 hours/week, with independent, asynchronous work and opportunities for ongoing collaboration.

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.
• Familiarity with how identity failures occur in real environments and how attackers exploit them.
• Ability to articulate complex access control concepts clearly in written form.
• Detail-oriented, self-motivated, and comfortable working independently.

Responsibilities

• Analyze IAM, SSO, and access control scenarios to identify weaknesses, misconfigurations, and risk patterns
• Classify permission issues, privilege escalation paths, and identity-related security failures
• Review zero-trust architecture models and evaluate access design decisions
• Generate and validate realistic identity security scenarios used to train and evaluate AI systems
• Provide structured, expert feedback that directly improves how AI models understand enterprise security
• Work independently and asynchronously on your own schedule

Skills

IAM & SSO concepts

RBAC & least-privilege

Written communication

Tools

Okta

Azure AD

AWS IAM

CyberArk

Job description

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

Identity sits at the core of most modern enterprise security failures — and we need experts who truly understand why. At Alignerr, we partner with the world's leading AI research labs to build and train cutting-edge AI models. As an IAM Analyst, your real-world security expertise will directly shape how AI systems reason about identity risks, access control failures, and privilege abuse in enterprise environments.

About The Role

This is a rare opportunity to put your hands-on IAM knowledge to work on something bigger: teaching the next generation of AI to think like a seasoned security professional.

• 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 risk patterns
• Classify permission issues, privilege escalation paths, and identity-related security failures
• Review zero-trust architecture models and evaluate access design decisions
• Generate and validate realistic identity security scenarios used to train and evaluate AI systems
• Provide structured, expert feedback that directly improves how AI models understand enterprise security
• Work independently and asynchronously on your own schedule

Who You Are

• 2+ years of hands-on experience with IAM, SSO, or enterprise identity platforms (e.g., Okta, Azure AD, AWS IAM, CyberArk)
• 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
• Ability to articulate complex access control concepts clearly in written form
• Detail-oriented, self-motivated, and comfortable working independently

Nice to Have

• Experience with privileged access management (PAM) or identity governance
• Familiarity with frameworks such as NIST, ISO 27001, or Zero Trust Architecture
• Background in penetration testing or threat modeling related to identity systems
• Prior exposure to AI training or data annotation workflows

Why Join Us

• Work directly on frontier AI systems alongside top research labs
• Fully remote and flexible — work on your own schedule, wherever you are
• Freelance perks: autonomy, variety, and global collaboration
• Your expertise creates lasting impact on how AI understands real-world security
• Potential for ongoing work and contract extension