DevOps & AI Workflow Evaluator (Remote)

YO AI Labs; Austin (TX); Remote; USD 96,000 - 165,000; Part time

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