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.