Physics Researcher (Python) - Freelance Ai Trainer, Dallas

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 experience
Strong 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 ***** 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 $55/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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