Cloud Security Analyst

We partner with the world's leading AI research teams and labs to build and train cutting-edge AI models. Right now, 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.

We partner with the world's leading AI research teams and labs to build and train cutting-edge AI models. Right now, 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.

This is a unique opportunity to apply your hands‑on cloud security knowledge to directly influence how the next generation of AI reasons about security incidents, misconfigurations, and risk.

• Organization:
  Alignerr
• Type:
  Hourly Contract
• Location:
  
  Remote
• Commitment: 10–40 hours/week

• Analyze real-world 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 actually unfold
• Help ensure AI systems reason correctly about blast radius, risk exposure, and business impact

• 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 providers
• Able to reason clearly and precisely about security risk, blast radius, and downstream business impact
• Strong written communication skills for structured feedback and documentation

• Experience with cloud security tooling (e.g., AWS Security Hub, GCP Security Command Center, Microsoft Defender for Cloud)
• Background in penetration testing, threat modeling, or incident response
• Familiarity with compliance frameworks such as CIS Benchmarks, SOC 2, or NIST
• Prior experience contributing to AI training or evaluation projects

• 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
• Contribute meaningful work that shapes how AI understands cloud security
• Potential for ongoing work and contract extension