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STEM Python Experts (Math, Physics, Chemistry, Biology)

Mercor
Pay
$70 - $90 / hr
Hourly
Location
Worldwide
Remote
Posted
Mar 13, 2026
Languages
English

Description

Mercor is hiring experienced Mathematics, Biology, Chemistry, and Physics professionals to support a variety of high-impact research collaborations with leading AI labs. Freelancers will help improve AI systems through work on code validation, prompt refinement, algorithmic evaluation, and model benchmarking.

This is a unique opportunity to apply your engineering expertise toward shaping the next generation of intelligent systems.

Key Responsibilities

  • Scientific Research Translation: Identify and analyze high-impact research papers in Physics, Chemistry, Math, or Science that introduce novel, code-implementable methods.

  • Complex Problem Decomposition: Break down high-level scientific problems into a series of logical, independently testable subproblems.

  • Golden Solution Authoring: Develop "Gold Standard" Python solutions for each subproblem and create corresponding unit tests to verify accuracy

  • Quality Control and Review: Review peer prompts, golden solutions, and unit tests for accuracy, comprehensiveness, and difficulty.

Ideal Qualifications

  • Degree: Bachelor’s, Master’s or PhD in a STEM field (Physics, Chemistry, Mathematics, Biochemistry, or related Computational Sciences).

  • Expert Python Proficiency: Strong experience in scientific computing libraries (e.g., NumPy, SciPy, Matplotlib, JAX, or domain-specific packages like RDKit or OpenMM).

  • Technical Writing: Ability to translate dense academic research into clear, structured problem statements for a technical audience.

  • Version Control: Proficiency with Git, including branch management and pull request workflows.

  • Unit Testing Experience: Familiarity with testing frameworks (like pytest) and the ability to write robust validation scripts for mathematical/scientific code.

Project Timeline

  • Start Date: Immediate

  • Duration: 1–2 months

  • Commitment: Part-time (15–25 hours/week, with flexibility up to 80 hours/week)

Application & Onboarding Process

  • Upload your resume

  • AI interview: 3 short, 15-minute conversational sessions to understand your background, experience, and interest in the role

  • Follow-up communication within a few days with next steps and onboarding details

Apply today and leverage your data science expertise to help build the future of AI-driven systems!

Interested in this position?

Apply directly on the company's website