Cloud Security Analyst

Alignerr Corp.

Phoenix (AZ)

Remote

USD 83,000 - 138,000

Part time

9 hours ago
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Benefits offered by this job

Autonomy
Global collaboration
Fully remote

Job summary

Alignerr is seeking a Cloud Security Analyst (AI Training) for a remote hourly contract. You will analyze cloud security scenarios across AWS, GCP, and Azure, review IAM, networking, storage, and container security, and classify misconfigurations by impact.

You should have 2+ years in production cloud environments and strong written communication to document findings and influence AI training outcomes.

Qualifications

  • 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 and security incidents across major cloud providers.
  • Able to reason clearly and precisely about security risk, blast radius, and downstream business impact.
  • Strong written communication skills for structured feedback and documentation.

Responsibilities

  • Analyze real-world cloud security scenarios across AWS, GCP, and Azure to identify risks and failure patterns.
  • Review and assess 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 actually unfold.
  • Help ensure AI systems reason correctly about blast radius, risk exposure, and business impact.

Skills

Cloud security concepts
Production cloud experience
Cloud IAM concepts
Networking in cloud environments
Container security
Security risk reasoning
Strong written communication

Tools

AWS Security Hub
GCP Security Command Center
Microsoft Defender for Cloud

Job description

Cloud Security Analyst (AI Training)

We partner with the world's leading AI research teams and labs to build and train cutting‑edge AI models. Right now, we’re building datasets and evaluations focused on cloud security and modern infrastructure — and we need practitioners who truly understand how cloud environments fail in the real world. This is a unique opportunity to apply your hands‑on cloud security knowledge to directly influence how the next generation of AI reasons about security incidents, misconfigurations, and risk.

Organization Details
  • 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 assess 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 actually unfold
  • Help ensure AI systems reason correctly about blast radius, risk exposure, and business impact
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 concepts
  • Familiarity with real‑world misconfigurations and security incidents across major cloud providers
  • Able to reason clearly and precisely about security risk, blast radius, and downstream business impact
  • Strong written communication skills for structured feedback and documentation
Nice to Have
  • Experience with cloud security tooling (e.g., AWS Security Hub, GCP Security Command Center, Microsoft Defender for Cloud)
  • Background in penetration testing, threat modeling, or incident response
  • Familiarity with compliance frameworks such as CIS Benchmarks, SOC 2, or NIST
  • Prior experience contributing to AI training or evaluation projects
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
  • Contribute meaningful work that shapes how AI understands cloud security
  • Potential for ongoing work and contract extension
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