Physics Researcher; Python - Freelance AI Trainer

Position: Physics Researcher (Python) - Freelance AI Trainer
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 (Num Py, Pandas, Sci Py);

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 experience in Python and is 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 experience

Strong written English (C1/C2)

Strong Python proficiency for numerical validation

Stable internet connection

Professional certifications (e.g., CPhys, Eur Phys, 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.

Compensation
On this project, contributors can earn up to  $34 per hour equivalent , depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

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