Remote Site Reliability Engineer — AI Workflow Evaluator

YO AI Labs

Seattle (WA)

Remote

USD 138,000 - 276,000

Full time

4 days ago
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Job summary

YO AI Labs is seeking 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 workflows and provide practical feedback based on real-world engineering standards.

No prior AI experience is required—your technical expertise and infrastructure knowledge are what matter most.

Qualifications

  • Experience evaluating AI-assisted workflows and configurations.
  • Strong infrastructure knowledge across cloud, DevOps and platform engineering.
  • Ability to give clear, actionable feedback.

Responsibilities

  • Test and validate AI-assisted workflows across DevOps, cloud, infrastructure, and platform engineering.
  • Evaluate AI-generated commands, configurations, scripts, and deployment workflows.
  • 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 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 standards.
  • Collaborate remotely with project stakeholders through written evaluations and virtual discussions.

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

AWS
GCP

Job description

YO AI Labs is seeking 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 workflows and provide practical feedback based on real-world engineering standards.

No prior AI experience is required—your technical expertise and infrastructure knowledge are what matter most.

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