DevOps Engineer - AI Model Evaluator

Role Overview Mercor connects elite creative and technical talent with leading AI research labs. As a DevOps Engineer - AI Model Evaluator, you will use frontier AI coding agents to complete and evaluate complex infrastructure engineering tasks. What You Will Do Review model-generated implementations, identify bugs, edge cases, and reliability issues, and compare outputs from multiple frontier models. Why It Might Be a Fit You will apply professional engineering judgment to realistic infrastructure engineering scenarios and have the opportunity to work with leading AI research labs. Requirements 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 like Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools Ability to evaluate model-generated infrastructure and reliability engineering solutions Benefits $400 per accepted task Compensation is tied to accepted work Originally posted on Himalayas