Remote STEM-Coding Experts; Math, Physics, Chemistry, Biology - AI Trainer

• 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 sub problem 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., Num Py, Sci Py, 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!