Physics Expert with Python - Freelance AI Trainer

March 23, 2026
Open
Open
Location
Vietnam
Occupation
Part-time
Experience level
Mid-level
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Job Summary

Join Mindrift in a flexible, remote, project-based engagement supporting major tech clients in optimizing AI systems. Responsibilities include crafting rigorous physics problems, reviewing AI-generated solutions, and validating outcomes using Python libraries like NumPy, Pandas, and SciPy. Contributors typically dedicate 10–20 hours per week during active project phases. Compensation is up to $36/hour, depending on expertise and output, with payment structures varying by project.

Candidates should have a degree in Physics or a related field, at least three years' professional experience, and advanced Python skills for numerical validation tasks. C1/C2 written English and a reliable internet connection are required. Certifications such as CPhys, EurPhys, or MInstP, and experience with international or applied physics projects are advantageous.

This is a part-time, non-permanent opportunity ideal for physicists interested in diverse, flexible projects aiding AI innovation. Application involves a qualification process; workloads and pay may vary with project scope.

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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 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 $36 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.

Apply now
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Mindrift
Welcome to Mindrift — a space where innovation meets opportunity. We're a pioneering platform dedicated to advancing the field of artificial intelligence through collaborative online projects. Our focus lies in creating data for generative AI, offering a unique chance for freelancers to contribute to AI development from anywhere, at any time. At Mindrift, we believe in the power of collective intelligence to shape the future of AI. Our platform allows users to dive into a variety of tasks — ranging from creating training prompts for AI models to refining AI responses for greater relevance. Let's build the future of AI together, one task at a time.
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Information Technology & Services
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