Identity & Access Management (IAM) Analyst

Alignerr is a technology-focused organization that appears to specialize in roles related to artificial intelligence and cybersecurity. The job titles suggest an emphasis on AI training, infrastructure development, and security operations, indicating potential involvement in areas such as machine learning model development, system architecture, and threat detection. While the exact nature of the company's business remains unspecified, the recurring presence of AI-related positions implies a strategic focus on integrating advanced technologies into secure and scalable systems. The inclusion of roles like Governance, Risk & Compliance Analyst and Vulnerability Management Analyst further points to an environment where regulatory adherence and risk mitigation are critical components of operations. Alignerr likely operates in a sector that requires robust technical expertise and compliance with industry standards.

Identity & Access Management (IAM) Analyst (AI Training) About The Role Identity is at the core of most modern security failures — and we need experts who understand exactly why. At Alignerr, we partner with the world's leading AI research teams to build and train cutting-edge AI models. We're looking for experienced IAM professionals to help ensure AI systems genuinely understand how identity risk emerges, propagates, and gets exploited in real enterprise environments. Your domain expertise will directly shape how the next generation of AI reasons about access control, privilege escalation, and zero-trust security design. 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 and misconfigurations Classify permission issues, privilege escalation paths, and identity-related security failures Review zero-trust architecture models and evaluate access design decisions Generate and validate realistic identity security data used to train and evaluate AI systems Provide structured expert feedback that helps AI reason more accurately about enterprise security risk Who You Are 2+ years of hands-on experience with IAM, SSO, or enterprise identity platforms Strong familiarity with RBAC, least-privilege principles, and access review processes Clear understanding of how identity failures occur and how attackers exploit them Ability to think like both a defender and an attacker when assessing access scenarios Detail-oriented, self-motivated, and comfortable working asynchronously Nice to Have Experience with platforms such as Okta, Azure AD, AWS IAM, or SailPoint Familiarity with cloud identity architectures and federated identity systems Background in penetration testing, red teaming, or security auditing Certifications such as CISSP, CIAM, or relevant cloud security credentials Why Join Us Work directly on frontier AI systems alongside top research labs Fully remote and flexible — work on your own schedule Freelance perks: autonomy, variety, and global collaboration Contribute to meaningful work at the intersection of cybersecurity and AI Potential for ongoing work and contract extension Show more