Identity & Access Management (IAM) Analyst

Alignerr Corp.; Manchester; Remote; GBP 55,000 - 96,000; Part time

Job summary

Alignerr is seeking an Identity & Access Management (IAM) Analyst to assist with AI training. You will analyze IAM, SSO, and access control scenarios, identify weaknesses, and provide structured feedback to help train AI models on real-world identity risk.

Remote, hourly contract, 10–40 hours/week supports flexible scheduling. You will leverage experience with IAM platforms, RBAC concepts, and access reviews to evaluate design decisions and drive improvements in security postures across

Qualifications

• 2+ years hands-on IAM, SSO, or enterprise identity platforms.
• Solid understanding of RBAC and least-privilege principles.

Responsibilities

• Analyze IAM, SSO, and access control scenarios to identify weaknesses and misconfigurations.
• Classify permission issues and identity-related vulnerabilities.
• Review zero-trust models and evaluate access design for risk.

Skills

IAM

SSO

RBAC

Least-privilege

Access reviews

Identity architecture

Tools

Okta

Azure AD

AWS IAM

Job description

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

Identity is at the heart of modern enterprise security — and also 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 train and evaluate cutting-edge AI models being built by the world's leading AI research labs.

Your hands-on experience with access control, privilege management, and identity architecture will directly shape how AI reasons about security risk — making this one of the most impactful ways you can apply your expertise right now.

• 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, misconfigurations, and failure points
• Classify permission issues, privilege escalation paths, and identity-related vulnerabilities
• Review zero-trust models and evaluate access design decisions for correctness and risk
• Generate and validate realistic identity security scenarios used to train and benchmark AI systems
• Provide structured, expert feedback that helps AI learn how IAM risk actually emerges and propagates in enterprise 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 workflows
• Familiar with how identity failures occur and how attackers exploit them in practice
• Detail-oriented and comfortable working through complex, multi-layered access scenarios
• Able to work independently and deliver structured, high-quality analysis

Nice to Have

• Experience with platforms like Okta, Azure AD, AWS IAM, or similar
• Background in penetration testing, red teaming, or identity threat modeling
• Familiarity with compliance frameworks such as SOC 2, ISO 27001, or NIST
• Prior work in cloud security or DevSecOps environments

Why Join Us

• Work on frontier AI systems alongside top research labs and teams
• Fully remote and flexible — work on your own schedule, on your own terms
• Freelance autonomy: no meetings, no micromanagement, task-based work that fits your life
• Contribute to AI development in a domain — cybersecurity — that genuinely matters
• Potential for ongoing work and contract extension as projects grow