DevOps & AI Workflow Evaluator (Remote)

YO AI Labs

Austin (TX)

Remote

USD 96,000 - 165,000

Part time

4 days ago
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Job summary

YO AI Labs seeks experienced Developer & Infrastructure Experts to evaluate AI-powered workflows across software development, cloud infrastructure, DevOps, SRE, and platform engineering. You will test AI-generated commands, configurations, and deployment workflows, and provide practical feedback based on real-world engineering standards.

This remote contractor role emphasizes hands-on infrastructure knowledge over AI experience, with collaboration through written evaluations and virtual

Qualifications

  • Required: hands-on expertise in DevOps, cloud infrastructure, SRE, platform engineering.
  • Experience with major cloud platforms and observability tools.
  • Familiarity with developer workflows and project management platforms (GitHub, GitLab, Azure DevOps, JIRA).
  • Experience using AI agents like ChatGPT, Claude in infra 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.
  • Work with AWS, Azure, GCP, Kubernetes, Docker, Terraform, and CI/CD environments.
  • Review workflows involving GitHub, GitLab, Azure DevOps, and JIRA.

Skills

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

Tools

Kubernetes
Docker
Terraform
CI/CD
GitHub
GitLab
JIRA
Observability tools

Job description

YO AI Labs seeks experienced Developer & Infrastructure Experts to evaluate AI-powered workflows across software development, cloud infrastructure, DevOps, SRE, and platform engineering. You will test AI-generated commands, configurations, and deployment workflows, and provide practical feedback based on real-world engineering standards.

This remote contractor role emphasizes hands-on infrastructure knowledge over AI experience, with collaboration through written evaluations and virtual

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