At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting-edge AI models. We're building datasets and evaluations focused on cloud security and modern infrastructure — and we need practitioners who truly understand how cloud environments fail in the real world.
Your expertise won't just sit on a resume. It will directly shape how AI reasons about cloud security incidents, misconfigurations, and risk — making frontier AI systems smarter and safer for everyone.
Analyze real-world cloud security scenarios across AWS, GCP, and Azure to identify risks and failure patterns
Review IAM policies, networking configurations, storage settings, 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 actually unfold
Work independently and asynchronously on task-based assignments that fit your schedule
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 across major cloud platforms
Able to reason clearly about blast radius, risk exposure, and business impact
Strong written communication skills and attention to detail
Nice to Have
Experience with cloud security tooling (e.g., AWS Security Hub, GCP Security Command Center, Azure Defender)
Background in incident response, penetration testing, or cloud architecture
Familiarity with compliance frameworks such as CIS Benchmarks, SOC 2, or NIST
Why Join Us
Work directly on frontier AI systems with top AI research labs
Fully remote and adaptable — work on your own schedul