Remote SRE & Infrastructure Engineer — AI Workflow Testing

YO AI Labs

Dallas (TX)

Remote

USD 83,000 - 152,000

Part time

14 days+

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Job summary

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

No prior AI experience is required; your technical expertise and infrastructure knowledge are what matter most for remote evaluation work.

Qualifications

Proven experience in software engineering, DevOps, SRE, cloud, or infrastructure roles.
Hands-on with major cloud platforms, Kubernetes, Docker, Terraform, CI/CD, and observability tools.
Experience using GitHub, GitLab, Azure DevOps, and JIRA in workflows.
Familiarity with AI agents such as ChatGPT, Claude Code, Claude Cowork, or 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.
Work with AWS, Azure, GCP, Kubernetes, Docker, Terraform, and CI/CD environments.
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.
Identify technical errors, security or reliability concerns, and workflow gaps.
Document findings and provide clear, actionable feedback.
Recommend improvements based on real-world engineering practices and industry standards.
Collaborate remotely with project stakeholders through written evaluations and virtual discussions.