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.