AI Summary
Evaluate and improve complex ML/AI tasks using frontier AI coding agents. Review model-generated implementations and apply professional engineering judgment. 2+ years of ML engineering experience required.
Key Highlights
Evaluate model-generated ML implementations
Use AI coding agents for complex tasks
Apply professional engineering judgment
Key Responsibilities
Use frontier AI coding agents to complete and evaluate complex ML 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
Technical Skills Required
Benefits & Perks
$85/hour compensation
Job Description
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.
- Compare outputs from multiple frontier models and assess their strengths and weaknesses.
- Apply professional engineering judgment to realistic ML engineering scenarios.
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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.
- Experience deploying ML systems to production.
- $400 per accepted task
- Compensation is tied to accepted work.
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- Upload resume
- AI interview based on your resume
- Submit form
- For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
- For any help or support, reach out to: [email protected]
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