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STEM Researcher — Computational Fields

Mercor United State
Remote
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AI Summary

Design and author multi-step computational tasks for AI research labs. Evaluate models and ensure rigorous scientific reasoning. Work remotely 35 hours/week with Python-based analysis and experimental design.

Key Highlights
Contract position with $60–$90/hour compensation
Remote work for AI research labs in San Francisco
Requires MSc/PhD or equivalent with Python and Git experience
Key Responsibilities
Design tasks by turning everyday research skills into engaging, multi-step tasks
Author solutions using Python and notebooks, ensuring rigor and precision
Define criteria for sound scientific reasoning versus superficial reasoning
Evaluate models by reviewing attempts and identifying immediate mistakes
Work as a team to ensure consistent and accurate evaluations
Technical Skills Required
Python Experimental design Hypothesis testing
Benefits & Perks
Remote work
Contract compensation

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 tasks by turning everyday research skills into engaging, multi-step tasks.
  • Author solutions using Python and notebooks, ensuring rigor and precision.
  • Define criteria for sound scientific reasoning versus superficial reasoning.
  • Evaluate models by reviewing attempts and identifying immediate mistakes.
  • Work as a team to ensure consistent and accurate evaluations.

Qualifications

Must-Have

  • MSc or PhD in a STEM field or equivalent practical experience.
  • 1+ years in an active research role.
  • Experience with Python-based analysis, simulation, or data pipelines.
  • Strong grounding in experimental design and hypothesis testing.
  • Familiarity with Git, IDEs, and notebook environments.

Preferred

  • Experience in AI training, model evaluation, or benchmark/task authoring.
  • High attention to detail and creativity in task design.

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: [email protected]

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

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