Role OverviewMercor connects elite creative and technical talent with leading AI research labs. As a DevOps Engineer - AI Model Evaluator, you will use frontier AI coding agents to complete and evaluate complex infrastructure engineering tasks.
What You Will Do
Review model-generated implementations involving cloud platforms, Kubernetes, CI/CD systems, and infrastructure automation. Identify bugs, edge cases, reliability issues, and failure modes in model outputs.
Why It Might Be a Fit
You will apply professional engineering judgment to realistic infrastructure engineering scenarios and compare outputs from multiple frontier models to assess strengths and weaknesses.
Requirements
- 2+ years of professional DevOps, SRE, or Cloud Engineering experience
- Experience with AWS, Azure, GCP, Kubernetes, Terraform, CI/CD pipelines, or observability tooling
- Regular use of AI coding agents like Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools
- Ability to evaluate model-generated infrastructure and reliability engineering solutions
Benefits
- $400 per accepted task
- Compensation is tied to accepted work
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