Freelance Physics Expert with Python Expertise - AI Trainer, Cape Town

Overview

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What This Opportunity Involves

While each project involves unique tasks, contributors may: Design rigorous physics problems reflecting professional practice; Evaluate AI solutions for correctness, assumptions, and constraints; Validate calculations or simulations using Python (NumPy, Pandas, SciPy); Improve AI reasoning to align with industry-standard logic;Apply structured scoring criteria to multi-step problems What We Look For

This opportunity is a good fit for physicists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have: Degree in Physics or related fields, e.g. Engineering Physics, Thermodynamics, Statistical Mechanics, Optics and Acoustics, etc. 3+ years of professional physics experienceStrong written English (C1/C2) Strong Python proficiency for numerical validation Stable internet connection Professional certifications (e.g., CPhys, EurPhys, MInstP) and experience in international or applied projects are an advantage. How It Works

Apply→ Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations

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. Payment

Paid contributions, with rates up to $21/hour* Fixed project rate or individual rates, depending on the project Some projects include incentive payments Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project

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