Research Physicist with Python Experience - Freelance AI Trainer

Y-Axis; Iowa, Northern (LA, KY); On-site; USD 83,000 - 105,000; Full time

Job summary

Mindrift is seeking a Research Physicist with Python experience for project-based AI trainer work. The role focuses on designing computational physics problems that simulate research workflows and solving them with Python using Numpy, SciPy, and Sympy.

Contributors work 10–20 hours per week on remote, non-permanent projects, with compensation up to $76 per hour depending on level and pace of contribution.

Qualifications

• Degree in Physics (Theoretical, Experimental, or Computational) or related fields.
• Strong Python proficiency for numerical validation.
• Experience with numerical simulation methods is required.

Responsibilities

• Design computationally intensive physics problems that mimic real research workflows.
• Verify solutions with Python and document problem statements with correct answers.

Skills

Python

Numpy

SciPy

Sympy

Numerical Simulation

Physics Modeling

Computational Physics

Mechanics

Electromagnetism

Thermodynamics

Quantum Mechanics

English Proficiency

Education

Physics degree (Theoretical/Experimental/Computational)

Tools

MATLAB

R

C

SQL

Pandas

Stata

SciPy

Job description

Research Physicist with Python Experience - Freelance AI Trainer at Mindrift

Full Time

Start Date

Immediate

Expiry Date

26 Aug, 26

76.0

Posted On

28 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, Numpy, SciPy, Sympy, Numerical Simulation, Physics Modeling, Computational Physics, Mechanics, Electromagnetism, Thermodynamics, Quantum Mechanics, English Proficiency

technology;Information and Internet

Description

Description 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 involvesWhile each project involves unique tasks, contributors may:Design original computational physics problems that simulate real physics research workflows;Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy);Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Base problems on real research challenges or practical applications from physics practice;Verify solutions using Python with standard physics simulation libraries;Document problem statements clearly and provide verified correct answers.What we look forThis opportunity is a good fit for physicians with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:Degree in Physics (Theoretical, Experimental, or Computational) 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;Experience with numerical simulation methods;Ability to design problems that mirror real physics research workflows;Creative thinking in problem design across diverse physics areas;Familiarity with physics modeling and approximation techniques;Strong written English (C1+).How it worksProject time expectationsFor 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.CompensationOn this project, contributors can earn up to $76 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.

Responsibilities

• Responsibilities Design and develop computationally intensive physics problems that simulate real research workflows to train AI systems. Verify solutions using Python and document problem statements with correct answers.