Identity & Access Management (IAM) Analyst

Alignerr Corp.; United States; A distancia; MXN 14.000 - 55.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Fully remote

Flexible schedule

Global collaboration

Descripción de la vacante

Alignerr Corp. is seeking an IAM Analyst (AI Training) to analyze realistic IAM, SSO, and access control scenarios for weaknesses and misconfigurations.

You will classify permission issues and privilege escalation paths while reviewing zero-trust models for design correctness and risk. Remote, hourly contract work with 10–40 hours per week offers the chance to generate structured feedback to help AI reason about IAM risk and security design.

Formación

• 2+ years hands-on IAM, SSO, or identity platforms.
• Solid RBAC and least-privilege knowledge.
• Understanding of identity failures and attacker techniques.
• Ability to assess access scenarios as defender and attacker.

Responsabilidades

• Analyze IAM, SSO and access control scenarios for weaknesses.
• Classify permission issues and privilege escalation paths.
• Review zero-trust models for design correctness and risk.
• Provide structured feedback to help AI reason about IAM risk.

Conocimientos

IAM experience

RBAC basics

Threat modeling

Security mindset

Independent worker

Herramientas

Okta

Azure AD

AWS IAM

Descripción del empleo

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

About The Role

Identity is at the heart of most modern security failures — and AI needs to understand why. We're partnering with leading AI research labs to build AI systems that can reason accurately about real-world IAM risk. If you know how identity systems break, how privilege escalates, and where access controls fail in practice, your expertise can directly shape the next generation of enterprise security AI.

• 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 and misconfigurations
• Classify permission issues, privilege escalation paths, and identity-related failure modes
• 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 systemsProvide 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 and how attackers exploit them
• Able to think like both a defender and an attacker when evaluating access scenarios
• Detail-oriented and comfortable working independently on task-based assignments

Nice to Have

• Experience with platforms like Okta, Azure AD, AWS IAM, or similar
• Background in penetration testing, red teaming, or security architecture
• Familiarity with zero-trust frameworks or identity governance programs
• Experience writing security documentation, threat models, or risk assessments

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
• Meaningful work at the intersection of cybersecurity and AI
• Potential for ongoing work and contract extension