Identity & Access Management (IAM) Analyst

Alignerr; Toronto; Remoto; CAD 55.000 - 83.000; Part-time

Vantaggi offerti da questo lavoro

Autonomy

Flexibility

Global collaboration

Descrizione del lavoro

Alignerr Corp. is seeking an Identity & Access Management (IAM) Analyst (AI Training) to join a remote team. You will analyze IAM and SSO scenarios to improve how frontier AI systems understand identity risk and access controls.

This hourly contract offers flexible hours (10–40 per week) and remote collaboration with global teams. The role emphasizes hands-on security analysis, scenario generation, and precise technical communication.

Competenze

• 2+ years hands-on IAM/SSO experience.
• Solid RBAC and least-privilege understanding.
• Experience identifying IAM failures and attacker techniques.
• Analytical mindset with defender/attacker perspective.
• Clear written communication; able to explain security concepts.
• Self-motivated and capable of independent, task-based work.

Mansioni

• Analyze IAM, SSO, and access control to identify weaknesses.
• Classify permission issues and escalation paths.
• Review zero-trust designs for correctness.
• Create realistic IAM scenarios for training AI models.
• Provide structured feedback to help AI learn IAM risk propagation.

Conoscenze

IAM

SSO

RBAC

Least Privilege

Access Reviews

Security Analysis

Communication

Independent Work

Strumenti

Okta

Azure AD

AWS IAM

SailPoint

Descrizione del lavoro

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

About The Role

Identity is at the heart of modern security failures — and we're looking for people who truly understand how and 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 expertise will directly shape how AI reasons about identity risk, access control failures, and enterprise security vulnerabilities.

• 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 failure modes
• Review zero-trust models and evaluate access design decisions for correctness and security posture
• Generate and validate realistic identity security scenarios used to train and evaluate frontier AI systems
• Provide structured, expert feedback that helps AI learn how IAM risk actually emerges and propagates in real environments

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 and how attackers exploit them
• Strong analytical mindset with the ability to think like both a defender and an attacker
• Clear written communication skills — you can explain complex security concepts precisely
• Self-motivated and comfortable working independently on task-based assignments

Nice to Have

• Experience with platforms such as Okta, Azure AD, AWS IAM, or SailPoint
• Familiarity with identity governance and privileged access management (PAM)
• Background in cloud security, penetration testing, or security architecture
• Prior experience contributing to AI training, red teaming, or security research

Why Join Us

• Work directly on frontier AI systems alongside top research labs
• Fully remote and asynchronous — work when and where you want
• Freelance perks: autonomy, flexibility, and global collaboration
• Contribute to meaningful work at the intersection of cybersecurity and AI
• Potential for ongoing work and contract extension