Job Description

Cloud Security Analyst (AI Training)

About The Role

We're partnering with the world's leading AI research teams to build smarter, safer AI systems — and we need cloud security practitioners who understand how cloud environments actually fail.

This is your opportunity to put your real-world experience to work on something that matters: shaping how frontier AI understands cloud security risks, misconfigurations, and incident patterns across AWS, GCP, and Azure.

Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week (flexible)

What You'll Do

Analyze cloud security scenarios across AWS, GCP, and Azure to identify risks, vulnerabilities, and failure patterns
Review and evaluate IAM, networking, storage, and container security issues in realistic cloud environments
Classify security gaps and misconfigurations based on real-world impact and blast radius
Validate and improve AI-generated security reasoning so it accurately reflects how cloud incidents unfold in practice
Provide structured, expert feedback that directly improves the quality of AI security systems

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, security incidents, and their downstream effects
Able to clearly reason about blast radius, risk exposure, and business impact
Self-motivated and comfortable working independently on async, task-based assignments

Nice to Have

Experience with cloud security tooling (e.g., AWS Security Hub, GCP Security Command Center, Azure Defender)
Background in penetration testing, red teaming, or cloud incident response
Familiarity with frameworks like MITRE ATT&CK for Cloud or CIS Benchmarks
Certifications such as AWS Security Specialty, CCSP, or similar

Why Join Us

Work directly on frontier AI systems with top research labs
Fully remote and flexible — work on your own schedule
Freelance perks: autonomy, variety, and global collaboration
Contribute to AI that is more accurate and trustworthy in one of the most critical domains in tech
Potential for ongoing work and contract extension

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