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Entry Level Ai Coding Trainer Jobs (NOW HIRING)

Use frontier AI coding agents to complete and evaluate complex machine learning and AI engineering ... Review model-generated implementations involving model training , inference systems , MLOps , and ...

Use frontier AI coding agents to complete and evaluate complex machine learning and AI engineering ... Review model-generated implementations involving model training , inference systems , MLOps , and ...

No prior AI training experience is required. Key Responsibilities * Provide expert analysis and feedback on GIS and geospatial challenges. * Document technical workflows using Python and AI coding ...

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 ...

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Entry Level Ai Coding Trainer information

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How much do entry level ai coding trainer jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for entry level ai coding trainer in the United States is $31.24, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $35.58 per hour, depending on experience, location, and employer.

What are the most commonly searched types of Ai Coding Trainer jobs?

The most popular types of Ai Coding Trainer jobs are:

ML Engineer - AI Coding Expert - AI Trainer

Mercor

Miami, FL • Remote

$85/hr

Full-time

Posted yesterday

New


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.

Qualifications

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.

Preferred

  • Experience deploying ML systems to production.

Compensation & Legal

  • $400 per accepted task.
  • Compensation is tied to accepted work.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • 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: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.


#hiringmercor