Cloud Security Analyst
- Toronto, Ontario, Canada
- Remote
- Posted Sep 12, 2026
- 1 position
US$38–US$60 / hour
Opens an external site
- Employment type
- Contract
- Experience level
- Mid-level · 2+ years
- Minimum education
- Professional degree
- Apply by
- Oct 11, 2026
- Posting language
- English
- Working hours
- 40 hours per week
- Location requirements
- Country, Toronto, Ontario, Canada
- Seniority
- Entry level
Job summary
Analyze real-world cloud security scenarios across AWS, GCP, and Azure to identify risks and failure patterns. Validate and improve AI-generated security reasoning to enhance the capabilities of AI security systems.
Job details
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 us make AI smarter about how cloud environments actually fail in the real world. Your hands-on knowledge of AWS, GCP, and Azure — the misconfigurations, the blast radii, the incidents you've seen unfold — is exactly what's needed to train the next generation of AI security systems. This is a fully remote, flexible contract role that fits around your schedule. Organization: Alignerr Type: Contract / Task-Based 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, networking, storage, and container security issues 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 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 Familiarity with real-world misconfigurations, security incidents, and how they escalate Able to reason clearly about blast radius, risk exposure, and business impact Strong written communication — you can explain complex security concepts clearly Nice to Have Experience with cloud security certifications (AWS Security Specialty, CCSP, etc.) Background in incident response, penetration testing, or cloud architecture Familiarity with frameworks like MITRE ATT&CK Cloud or CSA CCM Why Join Us Work directly on frontier AI systems alongside top research labs Fully remote and flexible — work on your own schedule Freelance perks: autonomy, variety, and global collaboration Your expertise shapes how AI understands and reasons about cloud security Potential for ongoing work and contract extension
What you’ll do
Analyze real-world cloud security scenarios across AWS, GCP, and Azure to identify risks and failure patterns. Validate and improve AI-generated security reasoning to enhance the capabilities of AI security systems.
Requirements
Requires 2+ years of hands-on production experience with cloud environments, specifically in IAM, networking, and container security. Candidates must be able to reason about blast radius and risk exposure with strong written communication skills.
Benefits
• Autonomy • Variety • Global Collaboration
Listed skills
- Microsoft Azure · Preferred
- written communication · Preferred
- Amazon Web Services · Preferred
- Google Cloud · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Cloud Security
- AWS
- GCP
- Azure
- IAM
- Cloud Networking
- Container Security
- Risk Analysis
- Incident Response
- Penetration Testing
- Cloud Architecture
- Written Communication
Job areas
- Technology
- Security & Safety
- Software
- Data & Analytics
- Consulting
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