Remote Legal Expert - AI Trainer
SuperAnnotate, Gunbarrel, CO, United States
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.
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 (e.g., 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!
#J-18808-Ljbffr
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 (e.g., 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!
#J-18808-Ljbffr