AI/ML Engineer - Fully Remote | Upto $85/hr
Mercor
full-remotemidcontractbackenddata United States 3 days ago via LinkedIn
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Machine LearningMLOpsLLM ApplicationsAI Coding AgentsModel EvaluationInferenceProduction MLDeploymentRemote
About the role
Role Overview
ML Engineer (Coding Agent Experience) working with frontier AI coding agents to complete and evaluate complex machine learning and AI engineering tasks.
Responsibilities
- Use frontier AI coding agents to complete and evaluate ML/AI engineering work.
- Review model-generated implementations across:
- model training
- inference systems
- MLOps
- LLM applications
- Identify bugs, edge cases, performance issues, and failure modes in AI models.
- Compare outputs from multiple frontier models and assess strengths/weaknesses.
- Apply professional engineering judgment to realistic ML engineering scenarios.
Requirements
- 2+ years of professional machine learning engineering experience.
- Experience building production ML systems, including one or more of:
- model deployment infrastructure
- LLM applications
- AI-powered products
- Regular hands-on use of AI coding agents such as:
- Cursor, Claude Code, Codex, Windsurf, Gemini CLI (or similar)
- Ability to evaluate model-generated ML implementations and technical tradeoffs.
Preferred
- Experience deploying ML systems to production.
Compensation & Work Type
- Contract role (remote)
- Up to $85/hour
- Compensation is tied to accepted work: $400 per accepted task.
Location
- Fully remote (United States)
About Mercor
Mercor connects creative and technical talent with leading AI research labs. The company is headquartered in San Francisco and supports AI-focused roles through a talent and application platform, with backing from notable investors.
Scraped 6/17/2026