About this role
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 validate AI-generated security reasoning. Your hands-on experience with production cloud environments is exactly what's needed to make frontier AI more accurate and trustworthy. 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 and failure patterns Review and assess IAM, networking, storage, and container security issues 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 the quality of AI security knowledge 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 Familiarity with real-world misconfigurations and security incidents 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 tools, CSPM platforms, or threat modeling Background in incident response or cloud penetration testing Relevant certifications (AWS Security Specialty, CCSP, GCP Security Engineer, etc.) Why Join Us Work directly on frontier AI systems alongside top AI research labs Fully remote and flexible — work on your own schedule Freelance perks: autonomy, variety, and global collaboration Contribute meaningful expertise to AI that will impact how cloud security is understood at scale Potential for ongoing work and contract extension