Cloud Security Analyst (AI Training)

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 looking for experienced cloud security practitioners to help us make AI smarter about how cloud environments actually fail in the real world.

This is a unique opportunity to apply your hands-on security expertise to frontier AI — working on datasets and evaluations that directly shape how AI reasons about cloud security incidents, misconfigurations, and risk.

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 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 business impact
Validate and improve AI-generated security reasoning so it accurately reflects how cloud incidents unfold
Provide structured,



expert feedback that directly improves AI security intelligence

Who You Are

2+ years of hands-on experience working with cloud environments in production
Strong familiarity with cloud IAM, networking, storage, and container security concepts
Experienced with real-world misconfigurations and security incidents
Able to reason clearly about blast radius, risk exposure, and downstream business impact
Detail-oriented and comfortable working independently on task-based assignments

Nice to Have

Experience with cloud security certifications (AWS Security Specialty, CCSP, etc.)
Background in incident response or cloud penetration testing
Familiarity with compliance frameworks like SOC 2, CIS Benchmarks, or NIST

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 integral collaboration
Apply deep security exper

📌 Cloud Security Analyst (Madrid)
🏢 Alignerr
📍 Madrid