Identity & Access Management (IAM) Analyst

Alignerr Corp.; Paris; Remote; EUR 55,000 - 96,000; Full time

Benefits offered by this job

Fully remote

Freelance contract

Job summary

Alignerr is seeking an Identity & Access Management (IAM) Analyst to help train and evaluate AI models by analyzing access controls, SSO, and privilege escalation scenarios. The role is a remote hourly contract offering 10–40 hours per week and the chance to influence how AI interprets identity risks.

You’ll contribute by examining IAM configurations, identifying misconfigurations, and providing expert feedback to improve AI training data.

Qualifications

• 2+ years of hands-on experience with IAM, SSO, or enterprise identity platforms.
• Solid understanding of RBAC and least-privilege principles.
• Experience with identity failures and real-world attack scenarios.
• Ability to work independently and asynchronously on task-based assignments.

Responsibilities

• Analyze IAM, SSO, and access control scenarios to identify weaknesses and misconfigurations.
• Classify permission issues and privilege escalation paths.
• Review zero-trust architectures for realistic risk assessment.
• Generate realistic identity security data for AI training and evaluation.
• Provide structured feedback to help AI models understand IAM risk.

Skills

IAM experience

SSO

RBAC understanding

Least-privilege principles

Analytical writing

Tools

Okta

Azure AD

AWS IAM

Job description

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

About The Role

Identity is at the heart of modern enterprise security — and at the heart of some of its most critical failures. We're looking for IAM professionals who understand how identity systems break in the real world to help train and evaluate cutting-edge AI models.

At Alignerr, we partner with the world's leading AI research labs to build smarter, safer AI. Your hands-on experience with access control, privilege escalation, and identity misconfigurations will directly shape how AI reasons about enterprise security risk.

• 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, gaps, and misconfigurations
• Classify permission issues, privilege escalation paths, and identity-related failure patterns
• Review zero-trust architectures and access design decisions for realistic risk assessment
• Generate and validate realistic identity security data used to train and evaluate AI systems
• Provide structured, expert feedback that helps AI models understand how IAM risk actually emerges and propagates

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 in real environments
• Detail-oriented with strong analytical and written communication skillsAble to work independently and asynchronously on task‑based assignments

Nice to Have

• Experience with identity platforms such as Okta, Azure AD, or AWS IAM
• Familiarity with zero‑trust security frameworks
• Background in security consulting, red teaming, or enterprise security architecture
• Prior experience contributing to AI training or evaluation projects

Why Join Us

• Work directly on frontier AI systems with leading research labs
• Fully remote and flexible — work on your own schedule
• Freelance perks: autonomy, variety, and global collaboration
• Meaningful work that helps AI better understand real‑world security
• Potential for ongoing work and contract extension