DevOps Engineer - AI Model Evaluator
Summary
Evaluate AI coding agents by reviewing and testing their DevOps/SRE solutions for cloud infrastructure, Kubernetes, CI/CD, and observability tasks.
About The Job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position
DevOps / SRE / Cloud Engineer (Coding Agent Experience)
Type
Contract
Compensation
$85/hour
Location
Remote
Role Responsibilities
- Use frontier AI coding agents to complete and evaluate complex infrastructure engineering tasks.
- Review model-generated implementations involving cloud platforms, Kubernetes, CI/CD systems, observability, and infrastructure automation.
- Identify bugs, edge cases, reliability issues, and failure modes in model outputs.
- Compare outputs from multiple frontier models to assess their strengths and weaknesses.
- Apply professional engineering judgment to realistic infrastructure engineering scenarios.
Qualifications
Must-Have
- 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 such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools.
- Ability to evaluate model-generated infrastructure and reliability engineering solutions.
Preferred
- Experience supporting production-scale systems.
Compensation & Legal
- $400 per accepted task
- Compensation tied to accepted work.