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

Mercor

full-remotemidcontractbackenddata United States 3 days ago via LinkedIn
85 - 85 USD/daily

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Tags

Machine LearningMLOpsLLM ApplicationsModel EvaluationAI Coding AgentsInference SystemsModel TrainingProduction MLPerformance DebuggingTechnical Tradeoffs

About the role

Role Overview

Mercor is hiring a Machine Learning Engineer (Coding Agent Experience) for a fully remote contract role.

You will use frontier AI coding agents to deliver and review complex ML/AI engineering tasks, including evaluating and improving model-generated implementations.

Responsibilities

  • Use frontier AI coding agents to complete and evaluate ML and AI engineering tasks
  • Review model-generated implementations across:
    • Model training
    • Inference systems
    • MLOps
    • LLM applications
  • Identify bugs, edge cases, performance issues, and failure modes
  • Compare outputs from multiple frontier models and assess strengths/weaknesses
  • Apply professional engineering judgment to realistic ML engineering scenarios

Requirements (Must-Have)

  • 2+ years of professional machine learning engineering experience
  • Experience building production ML systems, 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)
  • Ability to evaluate model-generated ML implementations and technical tradeoffs

Nice-to-Haves (Preferred)

  • Experience deploying ML systems to production

Contract & Compensation

  • $85/hour (remote)
  • Additional compensation mention: $400 per accepted task (work tied to accepted tasks)

Application Process

  • Submit resume and complete an AI interview via Mercor’s platform (approx. 20–30 minutes).

About Mercor

Mercor connects creative and technical talent with leading AI research labs. The company operates as a talent platform focused on matching engineers to opportunities working on frontier AI and machine learning tasks.

Scraped 8/2/2026