Remote AI-Driven SRE & Infra Contractor

YO AI Labs

California (MO)

Remote

USD 83,000 - 138,000

Full time

14 days+
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Job summary

YO AI Labs is seeking seasoned 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

  • Hands-on experience in software engineering, DevOps, or cloud infrastructure.
  • Experience with Kubernetes, Docker, Terraform, CI/CD, and observability tools.
  • Familiarity with GitHub, GitLab, Azure DevOps, and JIRA for 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.

Skills

Cloud Infrastructure
Site Reliability Engineering
Platform Engineering
Observability
AI Agents
Workplace Connectors
ChatGPT Work
Claude Code
Claude Cowork

Tools

Azure DevOps
AWS
Azure
GCP
Kubernetes
Docker
Terraform
CI/CD
GitHub
GitLab
JIRA

Job description

YO AI Labs is seeking seasoned 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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