About The Role

AI is increasingly being used to generate infrastructure guidance, cloud architecture, and DevOps solutions --- and it needs real engineers to keep it accurate. We're looking for experienced DevOps engineers, systems administrators, cloud architects, and software engineers to evaluate and improve AI-generated technical content.

Your hands-on expertise will directly shape how AI understands and communicates real-world infrastructure challenges. This is a fully remote, flexible contract role --- work when you want, as much or as little as you like.

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

What You'll Do

Review AI-generated solutions for cloud architecture, DevOps workflows, and IT infrastructure
Evaluate code, configurations, and system designs for correctness, security, and best practices
Identify errors, misconfigurations, and gaps in AI-generated infrastructure guidance
Test and validate solutions across AWS, GCP, Azure, and related environments
Provide structured, actionable feedback to improve AI accuracy in engineering and IT domains
Assess troubleshooting recommendations for production systems and incident response scenarios
Work independently and asynchronously --- no meetings, no set hours

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 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 sharp 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

Work on cutting-edge AI projects with top research labs
Apply your real-world engineering expertise to shape how AI understands infrastructure
Fully remote with complete schedule flexibility --- work when it suits you
Freelance autonomy with global collaboration
Potential for ongoing work and contract extension
Get hands-on exposure to advanced LLMs and how they're trained

Cloud & DevOps Testing Analyst

Job summary

Work model