Machine Learning Engineer (Coding Agent Experience) @ Mercor

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.

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

Contract and Payment Terms

• You will be engaged as an independent contractor.

• This is a fully remote role that can be completed on your own schedule.

• Projects can be extended, shortened, or concluded early depending on needs and performance.

• Your work at Mercor will not involve access to confidential or proprietary information from any employer, client, or institution.

• Payments are weekly on Stripe or Wise based on services rendered.

• Please note: We are unable to support H1-B or STEM OPT candidates at this time.

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Please consider applying even if you don't meet 100% of what’s outlined

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Key Responsibilities

• 🤖 Completing and evaluating tasks

• 🔍 Reviewing model implementations

• ⚠️ Identifying issues

Key Strengths

• 💻 Machine learning engineering experience

• 🏗️ Production ML systems experience

• 🛠️ AI coding agents proficiency

• 📊 Model evaluation

• 🚀 Production deployment experience

• ⚖️ Technical tradeoffs understanding

Why Mercor is partnering with Hatch on this role.

Hatch exists to level the playing field for people as they discover a career that’s right for them. So when you apply you have the chance to show more than just your resume.

A Final Note: This is a role with Mercor not with Hatch.