Part-Time Mac Automation Pro for AI Research

Mercor

Greater London

On-site

GBP 17,000 - 25,000

Part time

7 days ago
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Job summary

Mercor is seeking computer power users and automation builders to support a research project with a leading AI lab. You will execute real productivity workflows on your Mac to benchmark and improve cutting-edge AI models.

The role is part-time (approximately 10–20 hours weekly) with narration of tasks to generate high-quality training data, offering structured responsibilities and an immediate start for qualified applicants.

Qualifications

  • Must own a MacBook/Mac with Apple M-series or Intel, running macOS 15+
  • Deep familiarity with macOS apps, keyboard-driven workflows, and system settings
  • Experience automating tasks with Shortcuts, Automator, AppleScript, Keyboard Maestro, Raycast, Alfred, Zapier, Make, or shell scripting
  • Pursuing or recently completed Masters, or 2–3 years of relevant experience + Bachelors from a prestigious institution
  • Ability to clearly explain your reasoning while you work
  • Excellent written and verbal communication skills

Responsibilities

  • Part-time commitment of approximately 10–20 hours per week
  • Complete and narrate real multi-app productivity and automation tasks on your Mac to create high-quality training data for advanced AI models
  • Responsibilities are clearly structured and not high-pressure like internships or full-time consulting roles
  • Immediate start preferred

Skills

MacOS proficiency
Strong communication
Explain reasoning
Self-driven productivity

Education

Masters studies or completed
Bachelors from a prestigious institution

Tools

Shortcuts
Automator
AppleScript
Keyboard Maestro
Raycast
Alfred
Zapier
Make
Shell scripting

Job description

Mercor is seeking computer power users and automation builders to support a research project with a leading AI lab. You will execute real productivity workflows on your Mac to benchmark and improve cutting-edge AI models.

The role is part-time (approximately 10–20 hours weekly) with narration of tasks to generate high-quality training data, offering structured responsibilities and an immediate start for qualified applicants.

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