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.
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 general collaboration
Contribute meaningful expertise to AI that will
📌 Cloud Security Analyst (Ciudad de México)
🏢 Alignerr
📍 Ciudad de México
Postulate a este anuncio
Muestra tus habilidades a la empresa, rellenar el formulario y deja un toque personal en la carta, ayudará el reclutador en la elección del candidato.