ML Engineer - Coding Agent Expert - AI Trainer

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: ML Engineer (Coding Agent Experience) Type: Contract Compensation: $85/hour Location: Remote Role Responsibilities • 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 in AI models . • Compare outputs from multiple frontier models and assess their strengths and weaknesses. • Apply professional engineering judgment to realistic ML engineering scenarios. Qualifications Must-Have • 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. Preferred • Experience deploying ML systems to production. 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: • For any help or support, reach out to: PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. #hiring mercor Originally posted on Himalayas