Summary: The Cloud Security Analyst role involves collaborating with leading AI research teams to enhance AI models by analyzing real-world cloud security scenarios. The position requires experienced practitioners to evaluate cloud environments and provide expert feedback to improve AI security reasoning. This role offers flexibility in hours and location, allowing for independent work on impactful projects. Candidates should have a solid background in cloud security across major platforms and be able to communicate effectively about risks and failures.
Key Responsibilities:
- Analyze real-world cloud security scenarios across AWS, GCP, and Azure to identify risks and failure patterns
- 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 accurately reflects how cloud incidents actually unfold
- Provide structured, expert feedback that directly improves AI security capabilities
Key Skills:
- 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
- Familiar with real-world misconfigurations, incident patterns, and how breaches propagate
- Able to think clearly and communicate precisely about blast radius, risk exposure, and business impact
- Self-motivated and comfortable working independently on async, task-based assignments
- Experience with cloud security tools, frameworks, or certifications (e.g., AWS Security Specialty, CCSP, CKS) is a plus
- Background in incident response, penetration testing, or cloud architecture review is a plus
- Familiarity with AI evaluation or data annotation workflows is a plus
Salary (Rate): £38.00/hr
City: London
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Cloud Security Analyst (AI Training)
About The Role
We partner with the world's leading AI research teams to build and evaluate cutting-edge AI models. Right now, we're looking for experienced cloud security practitioners to help train AI systems to reason accurately about how cloud environments fail in the real world. This is a unique opportunity to do meaningful, high-impact work at the intersection of cloud security and frontier AI — entirely on your own schedule.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
- Analyze real-world cloud security scenarios across AWS, GCP, and Azure to identify risks and failure patterns
- 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 accurately reflects how cloud incidents actually unfold
- Provide structured, expert feedback that directly improves AI security capabilities
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 across one or more major cloud platforms
- Familiar with real-world misconfigurations, incident patterns, and how breaches propagate
- Able to think clearly and communicate precisely 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 tools, frameworks, or certifications (e.g., AWS Security Specialty, CCSP, CKS)
- Background in incident response, penetration testing, or cloud architecture review
- Familiarity with AI evaluation or data annotation workflows
Why Join Us
- Work directly on frontier AI systems alongside top research labs
- Fully remote and flexible — work when and where it suits you
- Freelance perks: autonomy, variety, and global collaboration
- Make a tangible impact on how AI understands and reasons about cloud security
- Potential for ongoing work and contract extension