About the Role
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 security experience to one of the most impactful fields in tech: making AI systems smarter, safer, and more accurate when it comes to cloud infrastructure.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Analyze real-world cloud security scenarios across AWS, GCP, and Azure to identify risks, misconfigurations, and failure patterns
- Review and evaluate IAM, networking, storage, and container security issues
- Classify security gaps and cloud-related failures based on real-world impact and blast radius
- Validate and improve AI-generated security reasoning so it accurately reflects how cloud incidents actually unfold
- Help shape the next generation of AI security intelligence with your practitioner-level 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 across major cloud platforms
- Able to reason clearly about blast radius, risk exposure, and business impact
- Self-directed and comfortable working independently on task-based assignments
Nice to Have
- Experience with cloud security frameworks or compliance standards (e.g., CIS Benchmarks, SOC 2, NIST)
- Background in security engineering, DevSecOps, or cloud architecture
- Familiarity with AI evaluation or data annotation workflows
Why Join Us
- 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
- Meaningful work that directly improves how AI understands and reasons about cloud security
- Potential for ongoing work and contract extension