Part-Time AI Software Developer (Mac Required)

Mercor

United States

Remote

USD 34,000 - 55,000

Part time

2 days ago
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Job summary

Mercor is seeking software developers with 2-3 years of professional coding experience or current postgraduate CS students to support a research project with a leading AI lab. You will work through real development workflows on your Mac to help benchmark and improve cutting-edge AI models.

This part-time role (roughly 10–20 hours per week) involves completing and narrating software tasks on your Mac, from building and debugging to refactoring and code reviews, to create high-quality training

Qualifications

  • Own a MacBook/Mac with Apple M-series or Intel, running macOS 15+.
  • Hands-on experience with one or more programming languages (e.g., Python, JavaScript/TypeScript, Swift, Java, Go).
  • Proficient with macOS tools such as VS Code, Xcode, Terminal, Git, and package managers.
  • Pursuing or completed Masters, or 2–3 years of relevant experience + Bachelor's.
  • Ability to explain your reasoning clearly.
  • Excellent written and verbal communication skills.

Responsibilities

  • Part-time commitment of approximately 10-20 hours per week.
  • Complete and narrate real software development tasks on your Mac to create high‑quality training data for AI models.
  • Structured responsibilities without the high pressure of internships or full‑time consulting roles.
  • Immediate start preferred.

Skills

Programming languages
macOS tools
Communication

Education

Masters degree
Bachelor's degree

Tools

VS Code
Xcode
Git
Terminal

Job description

Mercor is seeking software developers with 2-3 years of professional coding experience or current postgraduate CS students to support a research project with a leading AI lab. You will work through real development workflows on your Mac to help benchmark and improve cutting-edge AI models.

This part-time role (roughly 10–20 hours per week) involves completing and narrating software tasks on your Mac, from building and debugging to refactoring and code reviews, to create high-quality training

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