Freelance AI Trainer - Physics Specialist with Python Expertise

MindriftRemote — Austria

Remote Contract $45/hr - $45/hr

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Experience Level

Experience

Qualifications

We are looking for candidates who possess a combination of the following qualifications:A degree in Physics (Theoretical, Experimental, or Computational) or a related field;Proficiency in Python for numerical validation;2+ years of relevant professional experience;Experience with numerical simulation methods;Ability to design complex physics problems;Creativity in problem design across diverse physics subjects;Strong written English communication skills (C1+).

About the job

We invite you to submit your CV in English, clearly indicating your level of English proficiency.

At Mindrift, we specialize in connecting talented professionals with innovative, project-based AI opportunities for leading technology companies. Our focus is on testing, evaluating, and enhancing AI systems across various domains. Please note that participation in our projects is temporary and not a permanent employment opportunity.

Opportunity Overview

While each project presents its own unique challenges, contributors can expect to:

Design original computational physics problems that reflect authentic physics research workflows;
Create challenges requiring advanced Python programming skills (including Numpy, SciPy, and Sympy) to find solutions;
Ensure that problems are computationally demanding and cannot be resolved manually within practical timeframes (days or weeks);
Develop scenarios necessitating intricate reasoning within mechanics, electromagnetism, thermodynamics, and quantum mechanics;
Base problems on genuine research hurdles or practical applications in the field of physics;
Validate solutions utilizing Python with standard physics simulation libraries;
Clearly document problem statements and provide verified correct answers.

Ideal Candidate Profile

This role is well-suited for physicists experienced in Python who are open to part-time, non-permanent projects. The ideal candidates will possess:

A degree in Physics (Theoretical, Experimental, or Computational) or a related field;
Proficiency in Python for numerical validation, with familiarity in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, and/or other programming languages considered equivalent;
A minimum of 2 years of professional experience, encompassing applied physics, research, or teaching roles;
Experience with numerical simulation methods;
The capability to design problems that accurately mirror real physics research workflows;
Creative problem-solving skills across various areas of physics;
Familiarity with physics modeling and approximation techniques;
Strong written English skills (C1 level or above).

Application Process

Apply → Pass qualifications → Join a project → Complete tasks and get compensated.

Project Time Commitment

For this project, tasks are estimated to require approximately 10–20 hours per week during active phases, depending on project requirements. This is just an estimate and does not guarantee a specific workload.

Compensation

Contributors can earn up to $45 per hour, depending on their level of expertise and contribution pace. Please note that compensation may vary across projects based on their complexity and requirements.

About Mindrift

Mindrift is dedicated to bridging the gap between talented specialists and innovative AI projects for leading tech companies. Our focus on testing, evaluating, and improving AI systems ensures that we provide meaningful opportunities for professionals to make an impact in the technology sector.

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Mindrift connects professionals with project-based AI training work for technology companies. This freelance role focuses on testing, evaluating, and improving AI systems through chemistry and Python expertise. Participation is on a project basis, not as a permanent employee. What you will do Create computational chemistry problems that reflect real research workflows Design tasks that require Python programming to solve, using tools like numpy, scipy, and chemical libraries Ensure problems are computationally intensive and not solvable manually in a reasonable time Develop scenarios involving complex reasoning in physical chemistry, quantum chemistry, or molecular modeling Base problems on genuine research challenges or practical chemistry applications Validate solutions in Python, applying standard computational chemistry methods Document problem statements clearly and provide accurate, verified solutions Requirements Degree in Chemistry or a related field Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other programming languages is also acceptable At least 2 years of relevant experience in application, research, or education Experience with numerical methods in chemistry Strong grasp of computational chemistry concepts and techniques Exceptional written English skills (C1+ level) Project workflow The process includes application, a qualification stage, project engagement, task completion, and compensation. Time commitment During active periods, tasks typically require about 10–20 hours per week, depending on project needs. This is an estimate and not a guaranteed workload. Compensation Contributors may earn up to $29 per hour, depending on expertise and pace. Actual compensation varies by project scope, complexity, and required skills. Other projects on the platform may offer different rates based on their requirements. Please submit your CV in English and include your English proficiency level.

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Freelance AI Trainer - Physics Specialist with Python Expertise

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Contract|$45/hr - $45/hr|Remote|Remote — Austria

We invite you to submit your CV in English, clearly indicating your level of English proficiency.At Mindrift, we specialize in connecting talented professionals with innovative, project-based AI opportunities for leading technology companies. Our focus is on testing, evaluating, and enhancing AI systems across various domains. Please note that participation in our projects is temporary and not a permanent employment opportunity.Opportunity OverviewWhile each project presents its own unique challenges, contributors can expect to:Design original computational physics problems that reflect authentic physics research workflows;Create challenges requiring advanced Python programming skills (including Numpy, SciPy, and Sympy) to find solutions;Ensure that problems are computationally demanding and cannot be resolved manually within practical timeframes (days or weeks);Develop scenarios necessitating intricate reasoning within mechanics, electromagnetism, thermodynamics, and quantum mechanics;Base problems on genuine research hurdles or practical applications in the field of physics;Validate solutions utilizing Python with standard physics simulation libraries;Clearly document problem statements and provide verified correct answers.Ideal Candidate ProfileThis role is well-suited for physicists experienced in Python who are open to part-time, non-permanent projects. The ideal candidates will possess:A degree in Physics (Theoretical, Experimental, or Computational) or a related field;Proficiency in Python for numerical validation, with familiarity in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, and/or other programming languages considered equivalent;A minimum of 2 years of professional experience, encompassing applied physics, research, or teaching roles;Experience with numerical simulation methods;The capability to design problems that accurately mirror real physics research workflows;Creative problem-solving skills across various areas of physics;Familiarity with physics modeling and approximation techniques;Strong written English skills (C1 level or above).Application ProcessApply → Pass qualifications → Join a project → Complete tasks and get compensated.Project Time CommitmentFor this project, tasks are estimated to require approximately 10–20 hours per week during active phases, depending on project requirements. This is just an estimate and does not guarantee a specific workload.CompensationContributors can earn up to $45 per hour, depending on their level of expertise and contribution pace. Please note that compensation may vary across projects based on their complexity and requirements.

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Apr 25, 2026

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