AI Summary
Partner with top AI research teams to build safer AI systems by analyzing cloud security risks and misconfigurations. Review and evaluate IAM, networking, storage, and container security issues. Classify security gaps and misconfigurations based on real-world impact.
Key Highlights
Analyze cloud security scenarios across AWS, GCP, and Azure
Review and evaluate IAM, networking, storage, and container security issues
Classify security gaps and misconfigurations based on real-world impact
Key Responsibilities
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
Technical Skills Required
Benefits & Perks
Fully remote and flexible work arrangement
Freelance perks: autonomy, variety, and global collaboration
Potential for ongoing work and contract extension
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
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)
- 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
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, 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
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., 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
- 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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