Identity & Access Management (IAM) Analyst

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

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

About The Role

Identity sits at the heart of most modern security failures — and the next generation of AI systems needs 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 and access scenarios.

This is a unique opportunity to put your security expertise to work at the frontier of AI development, partnering with world-leading research labs to make AI smarter about how IAM risk actually emerges and propagates in real environments.

• 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 failure points
• Classify permission issues, privilege escalation paths, and identity-related vulnerabilities
• Review zero-trust architectures and access design decisions for correctness and risk
• Generate and validate realistic identity security scenarios used to train and evaluate AI systems
• Provide structured, expert-level feedback that directly shapes how AI reasons about 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
• Solid understanding of RBAC, least-privilege principles, and access review processes
• Familiar with how identity failures occur in practice and how attackers exploit them
• Able to think critically about access control design and articulate reasoning clearly
• Detail-oriented and comfortable working through complex, realistic security scenarios
• No prior AI experience required — your security knowledge is what matters

Nice to Have

• Experience with cloud identity platforms (Azure AD, Okta, AWS IAM, Google Cloud Identity)
• Familiarity with zero-trust frameworks or PAM solutions
• Background in penetration testing, red teaming, or security architecture
• Knowledge of compliance frameworks such as SOC 2, ISO 27001, or NIST

Why Join Us

• Work directly on frontier AI systems alongside top research labs
• Fully remote and flexible — work on your own schedule, anywhere in the world
• Freelance perks: autonomy, variety, and global collaboration
• Contribute to meaningful work that shapes how AI understands enterprise security
• Potential for ongoing work and contract extension