We partner with the world's leading AI research teams and labs to build and train cutting-edge AI models. Right now, we're looking for experienced cloud security practitioners to help us develop datasets and evaluations focused on cloud security and modern infrastructure.
This isn't a theoretical role. We want people who have seen how cloud environments actually break — and can bring that real-world perspective to help AI reason better about security.
Analyze cloud security scenarios across AWS, GCP, and Azure to identify risks and failure patterns
Review IAM, networking, storage, and container security issues in realistic contexts
Classify security gaps, misconfigurations, and cloud-related failures based on real-world impact
Validate and improve AI-generated security reasoning so it accurately reflects how cloud incidents unfold
Provide structured, expert feedback that directly shapes how AI understands cloud security
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
Familiar with real-world misconfigurations and security incidents — not just theory
Able to reason clearly about blast radius, risk exposure, and business impact
Self-directed and comfortable working asynchronously on task-based assignments
Nice to Have
Experience with cloud security certifications (AWS Security Specialty, CCSP, etc.)
Background in incident response, penetration testing, or cloud architecture
Familiarity with AI evaluation workflows or data labeling projects
Why Join Us
Work directly on frontier AI systems alongside top research labs
Fully remote and versátil — work on your own schedule
Freelance autonomy with meaningful, intellectually engaging work
Contribute to AI that needs to understand security t