Machine Learning Engineer - Fully Remote | Upto $85/hr

Role Summary

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.

Compare outputs from multiple frontier models and assess their strengths and weaknesses.

Apply professional engineering judgment to realistic ML engineering scenarios.

Requirements

• 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:

Additional Information

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.