ml engineer for AI coding agents

Mercor connects elite creative and technical talent with leading AI research labs. The company is headquartered in San Francisco.

• Use frontier AI coding agents to complete and evaluate complex machine learning and AI engineering tasks;
• Review model-generated implementations involving model training, inference systems, MLOps, and LLM applications;
• Identify bugs, edge cases, performance issues, and failure modes;
• Compare outputs from multiple frontier models and assess their strengths and weaknesses;
• Apply professional engineering judgment to realistic ML engineering scenarios.

• 2+ Years of professional machine learning engineering experience;
• Experience building production ML systems, model deployment infrastructure, LLM applications, or AI-powered products;
• Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools;
• Ability to evaluate model-generated machine learning implementations and technical tradeoffs;
• Nice to have: Experience deploying ML systems to production.

• Contract role;
• Part-time employment;
• Compensation is tied to accepted work;
• $400 Per accepted task.