AI Summary
We're seeking a Cloud Security Analyst to analyze cloud security scenarios, identify risks, and improve AI-generated security reasoning. The ideal candidate has 2+ years of experience working with cloud environments in production and strong familiarity with cloud IAM, networking, storage, and container security.
Key Highlights
Analyze cloud security scenarios across AWS, GCP, and Azure
Review and evaluate IAM configurations, networking setups, storage policies, and container security issues
Validate and improve AI-generated security reasoning
Key Responsibilities
Analyze cloud security scenarios across AWS, GCP, and Azure to identify risks, failure patterns, and real-world attack surfaces
Review and evaluate IAM configurations, networking setups, storage policies, and container security issues
Classify security gaps, misconfigurations, and cloud-related failures based on real-world impact and blast radius
Validate and improve AI-generated security reasoning so it reflects how cloud incidents actually unfold in production
Provide structured, expert feedback that helps AI models think like experienced cloud security professionals
Technical Skills Required
Benefits & Perks
Fully remote work
Flexible work arrangement
Potential for ongoing work and contract extension
Nice to Have
Experience with cloud security tooling (e.g., Wiz, Orca, Prisma Cloud, AWS Security Hub)
Background in penetration testing, red teaming, or cloud incident response
Familiarity with frameworks like CIS Benchmarks, MITRE ATT&CK for Cloud, or CSA CCMP
Job Description
Cloud Security Analyst (AI Training)
About The Role
We're partnering with the world's leading AI research labs to build smarter, safer AI — and we need practitioners who truly understand how cloud environments fail in the real world.
If you've spent time in the trenches of AWS, GCP, or Azure and know what a misconfigured IAM policy or exposed storage bucket looks like in production, this role was built for you. Your expertise will directly shape how AI systems reason about cloud security — making frontier AI more accurate, reliable, and grounded in reality.
- Organization: Alignerr
- Type: Hourly Contract
- Commitment: 10–40 hours/week
- Location: Fully Remote
- Analyze cloud security scenarios across AWS, GCP, and Azure to identify risks, failure patterns, and real-world attack surfaces
- Review and evaluate IAM configurations, networking setups, storage policies, and container security issues
- Classify security gaps, misconfigurations, and cloud-related failures based on real-world impact and blast radius
- Validate and improve AI-generated security reasoning so it reflects how cloud incidents actually unfold in production
- Provide structured, expert feedback that helps AI models think like experienced cloud security professionals
Interested in remote work opportunities in Devops? Discover Devops Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.
- 2+ years of hands-on experience working with cloud environments in production
- Strong familiarity with cloud IAM, networking, storage, and container security across one or more major cloud platforms
- You've seen real-world misconfigurations and security incidents — and know how to reason about their downstream impact
- Able to clearly articulate blast radius, risk exposure, and business impact in writing
- Self-motivated and comfortable working independently in an async, remote environment
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
- Experience with cloud security tooling (e.g., Wiz, Orca, Prisma Cloud, AWS Security Hub)
- Background in penetration testing, red teaming, or cloud incident response
- Familiarity with frameworks like CIS Benchmarks, MITRE ATT&CK for Cloud, or CSA CCM
- Prior experience contributing to AI training or evaluation projects
- Work directly on frontier AI systems alongside top research labs
- Fully remote and async — work on your schedule, from anywhere
- Freelance perks: full autonomy, flexibility, and global collaboration
- Meaningful work that makes AI safer and more capable in a critical domain
- Potential for ongoing work and contract extension
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