ML Engineer (Coding Agent Experience)

Mercor — Remote (United States)

Salary: $85 / hour · Schedule: Part-Time · Work model: Remote

Skills: Code Review, Engineering Judgment, Machine Learning, Model Evaluation, Technical assessment, AI Coding Agents

Job Description

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ML Engineer (Coding Agent Experience)

$85 / hr

Hourly contract

Remote

KEV

227 hired this month

Early applicant

$85

per hour

Posted by Mercor

mercor.com

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Resume |Code Review Session |AI Proficiency Interview |Work Authorization

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All application steps are reused whenever another role requires the same step, so you never have to upload your resume or take the same interview twice

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.

About Mercor

Mercor partners with leading AI labs and enterprises to train frontier models using human expertise. You will work on projects that focus on training and enhancing AI systems. You will be paid competitively, collaborate with leading researchers, and help shape the next generation of AI systems in your area of expertise.

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