DevOps Engineer - AI Model Evaluator
About this role
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.
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.