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

About the Role

• Mercor is partnering with a leading AI research lab to support a Frontier Code Agents project.

• Contributors help evaluate and improve frontier AI coding models through structured technical assessments.

• The work focuses on realistic machine learning engineering workflows and model evaluation.

• Spots are limited and filling quickly on a first come, first serve basis.

What You'll Do

• 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.

Time Commitment

• Sprint based project that runs in 12-24 hour stretches based on client requirement.

Compensation

• $400 per accepted task.

• Typical tasks take approximately 2-3 hours after ramp-up.

• Compensation is tied to accepted work.

Who Should Apply

• 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.

• Experience deploying ML systems to production is preferred.