AI Summary
Analyze real-world cloud security scenarios to identify risks and failure patterns, classify security gaps, and validate AI-generated security reasoning. 2+ years of hands-on experience with cloud environments required. Strong understanding of cloud IAM, networking, storage, and container security concepts.
Key Highlights
Analyze real-world cloud security scenarios
Classify security gaps and misconfigurations
Validate AI-generated security reasoning
Key Responsibilities
Analyze real-world cloud security scenarios across AWS, GCP, and Azure to identify risks and failure patterns
Review IAM, networking, storage, and container security issues with a practitioner's eye
Classify security gaps, misconfigurations, and cloud-related failures based on real-world impact
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, Prisma, AWS Security Hub, GCP Security Command Center)
Background in incident response, penetration testing, or cloud compliance
Familiarity with frameworks like MITRE ATT&CK for Cloud, CSA CCM, or CIS Benchmarks
Job Description
Cloud Security Analyst (AI Training)
About The Role
We're partnering with leading AI research labs to build smarter, safer AI systems — and we need practitioners who know how cloud environments actually fail in the real world.
This isn't theoretical work. You'll bring your hands-on experience with IAM misconfigurations, networking gaps, and storage vulnerabilities to help AI reason about cloud security the way seasoned professionals do. Your expertise will directly shape how frontier AI understands and evaluates cloud risk.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
- Analyze real-world cloud security scenarios across AWS, GCP, and Azure to identify risks and failure patterns
- Review IAM, networking, storage, and container security issues with a practitioner's eye
- Classify security gaps, misconfigurations, and cloud-related failures based on real-world impact
- Validate and improve AI-generated security reasoning so it accurately reflects how cloud incidents unfold
- Provide structured, expert feedback that helps AI systems think like a seasoned cloud security engineer
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
- Solid understanding of cloud IAM, networking, storage, and container security concepts
- Familiarity with real-world misconfigurations, blast radius analysis, and security incidents
- Able to reason clearly about risk exposure and business impact
- Self-directed and comfortable working asynchronously on task-based assignments
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, Prisma, AWS Security Hub, GCP Security Command Center)
- Background in incident response, penetration testing, or cloud compliance
- Familiarity with frameworks like MITRE ATT&CK for Cloud, CSA CCM, or CIS Benchmarks
- Work directly on cutting-edge AI projects with top research labs
- Fully remote and flexible — work on your own schedule
- Freelance perks: autonomy, variety, and global collaboration
- Make a meaningful impact on how AI understands and reasons about cybersecurity
- Potential for ongoing work and contract extension
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