AI Research Associate - Part-Time on Mac (MSc/PhD)

Mercor

San Francisco (CA)

Remote

USD 34,000 - 55,000

Part time

2 days ago
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Job summary

Mercor is seeking STEM researchers who are pursuing MSc or PhD to support a research project with a leading AI lab. You will work through real research workflows on your Mac to help benchmark and improve cutting-edge AI models.

This role offers a flexible, part-time commitment of 10–20 hours per week with an immediate start. Responsibilities include literature review, data analysis, modeling, and technical writing to create high-quality training data for advanced AI models.

Qualifications

  • Must own a MacBook or Mac with an Apple M-series chip or Intel processor, running macOS 15+.
  • Currently pursuing or have completed an MSc or PhD in a STEM field (e.g., physics, chemistry, biology, mathematics, computer science, engineering).
  • Hands-on research experience with Python/Jupyter, MATLAB, R, LaTeX, reference managers, or lab/data analysis software.
  • Strong online research skills and ability to gather and clearly summarize information from diverse sources.
  • Ability to clearly explain your reasoning while you work.
  • Excellent written and verbal communication skills.

Responsibilities

  • Complete and narrate real research tasks (literature review, data analysis, modeling, technical writing) on your Mac to create high-quality training data for advanced AI models.
  • Responsibilities are clearly structured with low pressure compared to internships or full-time consulting roles.
  • Immediate start preferred.

Skills

MacOS proficiency
Literature review
Python / Jupyter
MATLAB
R
LaTeX
Data analysis software
Communication skills
Summary writing

Education

MSc or PhD in STEM

Tools

Python/Jupyter
MATLAB
R
LaTeX

Job description

Mercor is seeking STEM researchers who are pursuing MSc or PhD to support a research project with a leading AI lab. You will work through real research workflows on your Mac to help benchmark and improve cutting-edge AI models.

This role offers a flexible, part-time commitment of 10–20 hours per week with an immediate start. Responsibilities include literature review, data analysis, modeling, and technical writing to create high-quality training data for advanced AI models.

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