DevOps Engineer - AI Model Evaluator

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.
Compare outputs from multiple frontier models and assess their strengths and weaknesses.
Apply professional engineering judgment to realistic infrastructure engineering scenarios.
Work independently and asynchronously to meet sprint-based project deadlines.
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 is tied to accepted work.
Application Process (Takes 20–30 mins to complete)
Upload resume
AI interview based on your resume
Submit form
Resources & Support
For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
For any help or support, reach out to: support@mercor.com
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Work arrangement
Yes