AI Summary
Analyze cloud security scenarios, review IAM policies, and improve AI-generated security reasoning. 2+ years of experience with cloud environments in production required. Strong written communication skills needed.
Key Highlights
Analyze cloud security scenarios
Review IAM policies
Improve AI-generated security reasoning
Key Responsibilities
Analyze cloud security scenarios across AWS, GCP, and Azure to identify risks and real-world failure patterns
Review IAM policies, networking configurations, storage permissions, and container security issues
Classify security gaps, misconfigurations, and cloud-related failures based on actual business impact
Technical Skills Required
Benefits & Perks
Fully remote work
Flexible schedule
Potential for ongoing work and contract extension
Nice to Have
Cloud security tooling (e.g., Wiz, Orca, Prisma Cloud, AWS Security Hub)
Background in incident response, cloud penetration testing, or security architecture
Familiarity with compliance frameworks such as CIS Benchmarks, SOC 2, or NIST
Job Description
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 develop datasets and evaluations focused on real-world cloud infrastructure security.
This isn't theoretical work. We need people who have seen cloud environments fail in production — who understand what a misconfigured IAM policy actually means, and how a storage exposure can cascade into a serious incident. Your hands-on knowledge will directly shape how AI systems reason about cloud security.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
- Analyze cloud security scenarios across AWS, GCP, and Azure to identify risks and real-world failure patterns
- Review IAM policies, networking configurations, storage permissions, and container security issues
- Classify security gaps, misconfigurations, and cloud-related failures based on actual business impact
- Validate and improve AI-generated security reasoning so it accurately reflects how cloud incidents unfold in practice
- Provide structured, expert feedback that helps frontier AI models reason more accurately about cloud security
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- 2+ years of hands-on experience working with cloud environments in production
- Solid understanding of cloud IAM, networking, storage, and container security across one or more major cloud platforms
- Experience recognizing and reasoning about real-world misconfigurations and security incidents
- Ability to think clearly about blast radius, risk exposure, and downstream business impact
- Strong written communication skills — you can explain complex security concepts clearly and concisely
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 incident response, cloud penetration testing, or security architecture
- Familiarity with compliance frameworks such as CIS Benchmarks, SOC 2, or NIST
- Work directly on frontier AI systems at the cutting edge of AI safety and security research
- Fully remote and flexible — work on your own schedule, anywhere in the world
- Freelance autonomy: no meetings, no bureaucracy, just meaningful expert work
- Collaborate with a global network of technical specialists and AI researchers
- Potential for ongoing work and contract extension as new projects launch
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