Cloud & DevOps Solutions Analyst

Job summary

United States
Software Developer

Work model

Fully remote
2 days ago
Job description

About The Role

AI is being trained to solve real infrastructure problems --- and it needs engineers like you to get it right. We're looking for experienced DevOps engineers, software engineers, systems administrators, and IT architects to evaluate and improve AI-generated cloud and infrastructure solutions.

Your hands-on production experience is exactly what's needed to ensure AI delivers accurate, secure, and production-ready guidance. No AI background required --- just deep technical expertise and sharp analytical thinking.

  • Organization: Alignerr
  • Type: Hourly Contract
  • Location: Remote
  • Commitment: 10--40 hours/week

What You'll Do

  • Review AI-generated solutions covering cloud architecture, DevOps workflows, and IT infrastructure
  • Evaluate code, configurations, and system designs for correctness, security, and adherence to best practices
  • Identify errors, misconfigurations, and gaps in AI-generated infrastructure guidance
  • Test and validate solutions across AWS, GCP, Azure, and on-premises environments
  • Assess troubleshooting recommendations for production systems and incident response scenarios
  • Provide clear, structured feedback that directly improves AI accuracy in engineering and IT domains
  • Work independently and asynchronously --- on your own schedule

Who You Are

  • 3 years of professional experience as a software engineer, systems administrator, DevOps engineer, or IT architect
  • Hands-on experience with production systems and real-world infrastructure troubleshooting
  • Working knowledge of at least one major cloud platform (AWS, GCP, and/or Azure)
  • Familiarity with CI/CD pipelines, containerization (Docker/Kubernetes), or infrastructure-as-code tools
  • Strong analytical thinking and close attention to technical detail
  • Clear written communication --- you can explain complex concepts concisely
  • No prior AI training experience required

Nice to Have

  • Experience with monitoring and observability tools (Datadog, Prometheus, CloudWatch)
  • Knowledge of networking, security, or compliance frameworks
  • Background in system design or architecture reviews
  • Scripting proficiency in Python, Bash, or similar languages

Why Join Us

  • Shape how AI understands infrastructure --- your real-world expertise directly influences AI development at the frontier
  • Fully remote with complete schedule flexibility --- work when and where you want
  • Exposure to cutting-edge AI --- get a behind-the-scenes look at how advanced LLMs are trained
  • Freelance autonomy --- no meetings, no micromanagement, task-based work that fits your life
  • Ongoing opportunity --- potential for contract extension and additional projects
  • Global collaboration --- work alongside engineers and experts from around the world