Identity & Access Management (IAM) Analyst

Alignerr Corp.; Dallas (TX); Remote; USD 34,000 - 62,000; Part time

Job summary

Alignerr is seeking an Identity & Access Management (IAM) Analyst focused on AI training to help secure frontier research and enterprise environments. You will analyze IAM scenarios, assess SSO configurations, map potential attack paths, and document gaps in access controls to guide defensive design.

This remote, hourly role offers 10–40 hours per week with flexible scheduling for async collaboration. You’ll contribute to training data that shapes how AI systems understand identity risk, while

Qualifications

• 2+ years hands-on IAM, SSO, or enterprise identity experience.
• Solid understanding of RBAC, least-privilege, and access reviews.
• Knowledge of how identity failures occur and attackers exploit them.
• Analytical and detail-oriented; can spot misconfigurations.
• Clear written communicator for concise security explanations.
• Self-motivated and comfortable working asynchronously in a remote setting.

Responsibilities

• Analyze IAM, SSO, and access control scenarios to identify weaknesses.
• Classify permission issues and privilege escalation vectors.
• Review zero-trust models and access design decisions for risk.
• Generate realistic identity security data for AI training.
• Provide expert feedback on how AI reasons about identity risk.

Skills

IAM

SSO

RBAC

Least privilege

Access reviews

Analytical

Written communication

Remote work

Tools

Okta

Azure AD

AWS IAM

Job description

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

Identity is at the core of most modern security failures — and the AI systems of tomorrow need to understand exactly how and why. We’re looking for experienced IAM professionals to work alongside world-leading AI research teams, bringing real-world expertise to scenarios that matter. You’ll analyze realistic identity and access management situations, helping ensure AI systems learn how IAM risk actually emerges, propagates, and gets exploited in enterprise environments. Your knowledge directly shapes the security reasoning of cutting-edge AI models.

About The Role

• Organization: Alignerr
• Type: Hourly Contract
• Commitment: 10–40 hours/week
• Location: Remote

What You’ll Do

• Analyze IAM, SSO, and access control scenarios to identify weaknesses, misconfigurations, and attack paths
• Classify permission issues, privilege escalation vectors, and identity-related failures
• Review zero-trust models and access design decisions for correctness and risk exposure
• Generate and validate realistic identity security data used to train and evaluate AI systems
• Provide structured, expert feedback on how AI reasons about enterprise identity risk

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
• Analytical and detail‑oriented — able to spot subtle misconfigurations and policy gaps
• Clear written communicator who can explain complex security concepts concisely
• Self‑motivated and comfortable working independently in an async, remote setting

Nice to Have

• Experience with platforms like Okta, Azure AD, AWS IAM, or similar enterprise identity tools
• Familiarity with frameworks such as NIST, MITRE ATT&CK, or zero‑trust architecture
• Background in security engineering, cloud security, or identity governance
• Prior experience in AI data annotation or evaluation workflows

Why Join Us

• Work directly on frontier AI systems alongside top research labs and teams
• Fully remote and flexible — complete tasks on your own schedule
• Freelance perks: autonomy, variety, and collaboration with a global community of experts
• Meaningful work that puts your real‑world security knowledge to use in a novel, high-impact way
• Potential for ongoing work and contract extension