Identity & Access Management (IAM) Analyst

Alignerr Corp.; Rio de Janeiro; Remote; BRL 275,000 - 413,000; Part time

Job summary

Alignerr Corp. is seeking an Identity & Access Management (IAM) Analyst for AI training. This remote hourly contract role focuses on evaluating how identity systems fail in real-world scenarios to improve AI security reasoning.

You will analyze IAM, SSO, and access controls, classify privilege escalation paths, and review zero-trust decisions to help shape enterprise-grade identity solutions. Flexible schedule and remote work offered.

Qualifications

• 2+ years of hands-on experience with IAM, SSO, or enterprise identity platforms.
• Solid understanding of RBAC and least-privilege principles.
• Ability to clearly articulate technical findings in written form.
• Self-motivated and able to work independently on task-based assignments.

Responsibilities

• Analyze real-world IAM, SSO, and access control scenarios to identify weaknesses and misconfigurations.
• Classify permission issues, privilege escalation paths, and identity-related security failures.
• Review zero-trust architecture decisions and access design models for correctness and risk.
• Generate and validate realistic identity security data used to train and evaluate AI systems.
• Provide structured expert feedback that directly improves how AI reasons about enterprise identity risk.

Skills

IAM

SSO

RBAC

Identity platforms

Tools

MITRE ATT&CK

Job description

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

About The Role

Identity sits at the heart of modern enterprise security — and at the heart of most major breaches. We're looking for IAM professionals who understand how identity systems fail in the real world to help shape the next generation of AI security reasoning.

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 hands-on expertise will be used to evaluate, validate, and improve how AI systems understand identity risk, access control failures, and privilege escalation in realistic enterprise environments.

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

What You'll Do

• Analyze real-world IAM, SSO, and access control scenarios to identify weaknesses and misconfigurations
• Classify permission issues, privilege escalation paths, and identity-related security failures
• Review zero-trust architecture decisions and access design models for correctness and risk
• Generate and validate realistic identity security data used to train and evaluate AI systems
• Provide structured expert feedback that directly improves how AI reasons about enterprise identity risk

Who You Are

• 2+ years of hands-on experience with IAM, SSO, or enterprise identity platforms (e.g., Okta, Azure AD, AWS IAM, Ping)
• Solid understanding of RBAC, least-privilege principles, and access review processes
• Familiarity with how identity failures occur in practice and how attackers exploit them
• Able to clearly articulate technical findings in written form
• Self-motivated and comfortable working independently on task-based assignments

Nice to Have

• Experience with zero-trust frameworks or identity governance tools
• Background in cloud IAM (AWS, GCP, Azure) or hybrid identity environments
• Familiarity with MITRE ATT&CK techniques related to credential access and privilege escalation
• Prior work in security operations, penetration testing, or access control auditing

Why Join Us

• Work directly on frontier AI systems alongside top research labs
• Fully remote and flexible — complete tasks on your own schedule
• 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