Identity & Access Management (IAM) Analyst

Alignerr Corp.; Dallas (TX); Remote; USD 14,000 - 55,000; Full time

Benefits offered by this job

Autonomy

Variety of tasks

Global collaboration

Job summary

Alignerr Corp. is seeking an Identity & Access Management (IAM) Analyst to help train AI systems with real-world identity scenarios. The role is remote, hourly, and part‑time, with 10–40 hours per week.

You will work alongside AI research teams to analyze IAM configurations, identify weaknesses, and provide expert feedback on enterprise identity risk. You will apply knowledge of RBAC, least-privilege, and access reviews to improve training data and assess security reasoning in AI-driven

Qualifications

• 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.
• Analytical and detail-oriented — able to spot subtle misconfigurations and policy gaps.
• Clear written communicator who can explain complex security concepts concisely.

Responsibilities

• 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.

Skills

IAM

SSO

RBAC

Zero-Trust

Tools

Okta

Azure AD

AWS IAM

Job description

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

About The Role

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.

• 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