Material Scientist with Python - Freelance AI Trainer

Overview

• While each project involves unique tasks, contributors may:
• Design original material engineering problems that simulate real engineering workflows;
• Create problems requiring Python programming to solve engineering calculations and simulations;
• Ensure problems are computationally intensive and require numerical methods or iterative solutions;
• Develop problems involving system design, optimization, and analysis;
• Base problems on real research challenges or practical applications from engineering practice;
• Verify solutions using Python with standard engineering libraries;
• Document problem statements clearly and provide verified correct answers.
• This opportunity is a good fit for material scientists & engineers with an experience in python open to part-time, non-permanent projects.
• Ideally, contributors will have:
• Degree in Material Science or related fields;
• Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;
• 2+ years of professional experience: applied, research, or teaching experience is applicable;
• Understanding of practical engineering constraints and approximations;
• Strong written English (C1+).
• For this project, tasks are estimated to require around 10 20 hours per week during active phases, based on project requirements.
• This is an estimate, not a guaranteed workload, and applies only while the project is active.
• On this project, contributors can earn up to
• $35 per hour equivalent
• , depending on their level and pace of contribution.

Compensation