Negotiable
Undetermined
Remote
Manchester, England, United Kingdom
Summary: The Cloud Security Analyst role focuses on collaborating with AI research labs to enhance AI systems' security by leveraging real-world cloud security experiences. Candidates will analyze cloud environments, identify risks, and provide expert feedback to improve AI-generated security reasoning. This position requires hands-on experience with cloud security and a clear understanding of the implications of misconfigurations. The role is fully remote with flexible hours, offering the opportunity to work on impactful AI projects.
Key Responsibilities:
- Analyze cloud security scenarios across AWS, GCP, and Azure to identify risks, failure patterns, and real-world impact.
- Review and evaluate IAM configurations, networking setups, storage policies, and container security issues.
- Classify security gaps and misconfigurations based on severity, blast radius, and business exposure.
- Validate and improve AI-generated security reasoning to ensure it reflects how cloud incidents actually unfold.
- Provide structured, expert feedback that directly shapes how AI understands and responds to cloud security challenges.
Key Skills:
- 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 providers.
- Experience with real-world misconfigurations, security incidents, or cloud vulnerability assessments.
- Ability to reason clearly about blast radius, risk exposure, and the downstream business impact of security failures.
- Clear communicator who can translate technical findings into structured, actionable feedback.
- Experience with cloud security frameworks such as CIS Benchmarks, CSPM tooling, or cloud-native security services (nice to have).
- Background in penetration testing, red teaming, or incident response (nice to have).
- Familiarity with infrastructure-as-code security (Terraform, CloudFormation) or Kubernetes security (nice to have).
- Prior exposure to AI evaluation or data annotation workflows (nice to have).
Salary (Rate): £38.00/hr
City: Manchester
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
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 understand how cloud environments actually fail. As a Cloud Security Analyst, you'll bring your real-world experience to help train and evaluate frontier AI models on cloud security scenarios. This isn't a theoretical role. We're looking for people who have seen misconfigurations cause incidents, who understand why a single IAM mistake can cascade into a full breach, and who can reason clearly about risk in complex cloud environments.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
- Analyze cloud security scenarios across AWS, GCP, and Azure to identify risks, failure patterns, and real-world impact
- Review and evaluate IAM configurations, networking setups, storage policies, and container security issues
- Classify security gaps and misconfigurations based on severity, blast radius, and business exposure
- Validate and improve AI-generated security reasoning to ensure it reflects how cloud incidents actually unfold
- Provide structured, expert feedback that directly shapes how AI understands and responds to cloud security challenges
Who You Are
- 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 providers
- Experience with real-world misconfigurations, security incidents, or cloud vulnerability assessments
- Ability to reason clearly about blast radius, risk exposure, and the downstream business impact of security failures
- Clear communicator who can translate technical findings into structured, actionable feedback
Nice to Have
- Experience with cloud security frameworks such as CIS Benchmarks, CSPM tooling, or cloud-native security services
- Background in penetration testing, red teaming, or incident response
- Familiarity with infrastructure-as-code security (Terraform, CloudFormation) or Kubernetes security
- Prior exposure to AI evaluation or data annotation workflows
Why Join Us
- Work directly on cutting-edge AI projects with top-tier research labs
- Fully remote and flexible — structure your hours around your life
- Freelance perks: autonomy, variety, and global collaboration
- Make a meaningful impact by ensuring AI systems reason accurately about real security risks
- Potential for ongoing work and contract extension