Remote AI-Powered DevOps & Infrastructure Evaluator

YO AI Labs

Phoenix (AZ)

Remote

USD 96,000 - 165,000

Part time

4 days ago
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Job summary

YO AI Labs is seeking a Developer & Infrastructure Expert (Contractor) to evaluate AI-powered workflows across software development, cloud infrastructure, DevOps, SRE, and platform engineering. You will test AI-generated commands, configurations, and workflows and provide practical feedback based on real-world engineering standards.

No prior AI experience is required—your technical expertise and infra knowledge matter most.

Qualifications

  • Extensive experience in software development, DevOps, SRE, cloud, platform, or infrastructure engineering.
  • Hands-on experience with major cloud platforms, Kubernetes, Docker, Terraform, CI/CD, and observability tools.
  • Experience using GitHub, GitLab, Azure DevOps, and JIRA.
  • Experience using AI agents (ChatGPT, Claude Code, Claude Cowork, Codex) in development or infrastructure workflows.

Responsibilities

  • Test and validate AI-assisted workflows across DevOps, cloud, infrastructure, and platform engineering.
  • Evaluate AI-generated commands, configurations, scripts, and deployment workflows for accuracy and reliability.
  • Review workflows involving GitHub, GitLab, Azure DevOps, and JIRA.
  • Assess AI agents and workplace connectors across tools such as Slack, Google Drive, and Microsoft 365.
  • Document findings and provide clear, actionable feedback.
  • Collaborate remotely with project stakeholders through written evaluations and virtual discussions.

Skills

Azure DevOps
Cloud Infrastructure
SRE
Platform Engineering
AWS / GCP / Azure
Kubernetes
Docker
Terraform
CI/CD
GitHub / GitLab / JIRA
Observability
ChatGPT Work
Claude Code
Claude Cowork
AI Agents
Workplace Connectors

Job description

YO AI Labs is seeking a Developer & Infrastructure Expert (Contractor) to evaluate AI-powered workflows across software development, cloud infrastructure, DevOps, SRE, and platform engineering. You will test AI-generated commands, configurations, and workflows and provide practical feedback based on real-world engineering standards.

No prior AI experience is required—your technical expertise and infra knowledge matter most.

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