Identity & Access Management (IAM) Analyst
Posted Today by Alignerr
Negotiable
Undetermined
Remote
London, England, United Kingdom
Summary: The Identity & Access Management (IAM) Analyst role focuses on enhancing AI systems by leveraging expertise in identity and access management. The position involves analyzing IAM scenarios, identifying security weaknesses, and contributing to AI training efforts. Candidates should have a solid background in IAM and be comfortable working independently in a remote setting. This role offers the opportunity to work on cutting-edge AI projects with leading research teams.
Key Responsibilities:
- Analyze realistic IAM, SSO, and access control scenarios to identify weaknesses, misconfigurations, and privilege escalation paths
- Classify permission issues and identity-related failures with structured, expert reasoning
- Review zero-trust models and evaluate access design decisions for security gaps
- Generate and validate realistic identity security data used to train and benchmark AI systems
- Help AI understand how identity risk actually emerges and propagates in enterprise environments
Key Skills:
- 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 in the real world — and how attackers exploit them
- Detail-oriented, systematic, and able to communicate complex security concepts clearly in writing
- Self-motivated and comfortable working independently on async, task-based assignments
- Experience with cloud identity platforms (Azure AD, AWS IAM, Okta, etc.)
- Background in security architecture, access governance, or identity threat modeling
- Familiarity with frameworks like NIST, MITRE ATT&CK, or Zero Trust architectures
- Prior experience contributing to AI training, red teaming, or security research
Salary (Rate): £60.00/hr
City: London
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Identity & Access Management (IAM) Analyst (AI Training)
About The Role
Identity sits at the core of most modern security failures — and the next generation of AI needs to understand exactly how and why. We're partnering with leading AI research labs to build models that reason about real-world enterprise security, and we need IAM professionals who can bring that expertise to life. If you've spent time working with identity platforms, diagnosing access control failures, or designing least-privilege architectures, this is your opportunity to put that knowledge to work on something genuinely cutting-edge.
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 privilege escalation paths
- Classify permission issues and identity-related failures with structured, expert reasoning
- Review zero-trust models and evaluate access design decisions for security gaps
- Generate and validate realistic identity security data used to train and benchmark AI systems
- Help AI understand how identity 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 processes
- Familiar with how identity failures occur in the real world — and how attackers exploit them
- Detail-oriented, systematic, and able to communicate complex security concepts clearly in writing
- Self-motivated and comfortable working independently on async, task-based assignments
Nice to Have
- Experience with cloud identity platforms (Azure AD, AWS IAM, Okta, etc.)
- Background in security architecture, access governance, or identity threat modeling
- Familiarity with frameworks like NIST, MITRE ATT&CK, or Zero Trust architectures
- Prior experience contributing to AI training, red teaming, or security research
Why Join Us
- Work directly on frontier AI systems alongside world-class research teams
- Fully remote and flexible — work on your own schedule, from anywhere
- Freelance perks: autonomy, variety, and global collaboration
- Contribute to meaningful work that makes AI safer and more security-aware
- Potential for ongoing work and contract extension