Cloud Security Analyst (AI Training)
About The Role
We're partnering with the world's leading AI research labs to build smarter, safer AI systems — and we need practitioners who truly understand how cloud environments fail in the real world.
As a Cloud Security Analyst, you'll analyze real-world cloud security scenarios, identify failure patterns, and help train and evaluate cutting-edge AI models on cloud infrastructure security. Your hands-on expertise will directly shape how the next generation of AI reasons about cloud risk.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
Analyze cloud security scenarios across AWS, GCP, and Azure to identify risks, misconfigurations, and failure patterns
Review and evaluate IAM, networking, storage, and container security issues in realistic contexts
Classify security gaps and cloud-related failures based on real-world impact and blast radius
Validate and improve AI-generated security reasoning so it accurately reflects how cloud incidents actually unfold
Provide structured, expert feedback that helps frontier AI models think like a seasoned cloud security practitioner
Who You Are
2+ years of hands-on experience working with cloud environments in production
Solid understanding of cloud IAM, networking, storage, and container security concepts
Familiar with real-world misconfigurations, incident patterns, and their downstream consequences
Able to reason clearly about blast radius, risk exposure, and business impact
Self-motivated and comfortable working independently on task-based assignments
Nice to Have
Experience with cloud security tooling (e.g., AWS Security Hub, GCP Security Command Center, Azure Defender)
Background in penetration testing, red teaming, or cloud incident response
Familiarity with frameworks like CIS Benchmarks, NIST, or the Cloud Security Alliance guidelines
Prior experience contributing to AI training or evaluation projects
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
Make a meaningful impact on how AI understands and reasons about real-world cloud security
Potential for ongoing work and contract extension