STEM Researcher - Fully Remote | Upto $90/hr

mercor

United States

Remote

USD 83,000 - 124,000

Full time

14 days+
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Job summary

Mercor, a San Francisco-based quantum research firm, seeks a STEM Researcher for remote contract work. You will design complex experiments, implement Python-based analyses in notebooks, and ensure rigorous evaluation of model attempts.

Collaboration with researchers will be essential to maintain quality and reproducibility. The role requires an MSc or PhD and 1+ years in active research, with strong experience in experimental design and Git/Jupyter workflows.

Qualifications

  • MSc or PhD in a STEM field or computational social-science or humanities discipline.
  • 1+ years of experience in an active research role.
  • Significant computational work involving Python-based analysis.
  • Familiarity with Git, IDEs, and notebook environments like Jupyter or Colab.

Responsibilities

  • Design complex, multi-step tasks using research skills like experimental design, hypothesis testing, and evaluation.
  • Author solutions in Python and notebooks, ensuring high rigor and accuracy.
  • Define criteria for sound scientific reasoning to distinguish it from superficial reasoning.
  • Evaluate model attempts and identify mistakes a working researcher would catch.
  • Collaborate with researchers and experts to maintain consistent and accurate evaluations.

Skills

Python
Experimental design
Hypothesis testing
Research
Data analysis

Education

MSc or PhD in STEM/computational field

Tools

Git
Jupyter/Colab
IDEs

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: STEM Researcher — Computational Fields
Type: Contract
Compensation: $60–$90/hour
Location: Remote
Commitment: 35 hours/week

Role Responsibilities
  • Design complex, multi-step tasks using research skills like experimental design , hypothesis testing , and evaluation .
  • Author solutions in Python and notebooks, ensuring high rigor and accuracy.
  • Define criteria for sound scientific reasoning to distinguish it from superficial reasoning.
  • Evaluate model attempts and identify mistakes a working researcher would catch.
  • Collaborate with researchers and experts to maintain consistent and accurate evaluations.
Qualifications Must-Have
  • MSc or PhD in a STEM field or computational social-science or humanities discipline.
  • 1+ years of experience in an active research role.
  • Significant computational work involving Python-based analysis.
  • Strong grounding in experimental design , hypothesis testing , and evaluation.
  • Familiarity with Git , IDEs , and notebook environments like Jupyter or Colab.
Preferred
  • Experience in AI training , model evaluation, or benchmark/task authoring.

Originally posted on Himalayas

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