Research Physicist – Freelance AI Trainer

Remote from: Italy
Salary, yearly, USD: 58,000
Department: Data Science & Analytics
Employment type: Full Time,
Job posted: 30 May 2026
Apply before: 30 Jun 2026
Experience level: Midweight
Views / Applies: 31 / 2

Mindrift connects AI experts and clients to advance Generative AI models.

Actively Hiring

AI Summary

Mindrift is seeking a freelance Research Physicist to design original optics and physics problems for AI training. This project-based role involves creating computationally intensive problems that simulate real research workflows in mechanics, electromagnetism, thermodynamics, and quantum mechanics. Ideal candidates have a degree in physics and 2+ years of experience in research or teaching. Tasks require 10-20 hours per week during active project phases, with compensation up to $29 per hour. This is a non-permanent, remote opportunity to contribute to cutting-edge AI development.

Role DNA

Job Complexity

Easy Hard

Pace & Pressure

Relaxed Fast-paced

Autonomy Level

Guided Full Ownership

Communication Load

Independent Highly Collaborative

AI Insight The role requires advanced physics knowledge and creative problem design, but is freelance and project-based, making it less demanding than a full-time research position.

Salary Analysis

AI Insight The offered salary is estimated at $29/hour, translating to about $58,000 annually for 20 hours/week, which is below the typical market range for research physicists ($60k-$120k). However, as a freelance role, it offers flexibility and may be suitable for supplemental income.

Key Skills

Physics Computational Modeling Numerical Simulation Problem Design AI Training Optics Quantum Mechanics Electromagnetism Thermodynamics Freelance

Cover Letter Sample

Dear Hiring Team,

I am writing to express my interest in the Research Physicist - Freelance AI Trainer position. With a PhD in Theoretical Physics and over 5 years of experience in computational modeling, I have a strong background in designing problems that mirror real research workflows. My expertise in numerical simulation and approximation techniques aligns perfectly with the requirements of this role.

I am particularly excited about the opportunity to contribute to AI training by creating challenging physics problems. My experience in teaching and research has honed my ability to develop clear, rigorous problem statements with verified solutions. I am comfortable working independently and managing my time effectively to meet project deadlines.

I look forward to the possibility of collaborating with Mindrift and contributing to the advancement of AI systems. Thank you for considering my application.

Sincerely,
[Your Name]

Possible Interview Questions

Describe a complex physics problem you designed that required non-trivial reasoning. What was the problem and how did you ensure it could not be solved manually?

I designed a problem in quantum mechanics involving a time-dependent potential barrier. The problem required numerical simulation to compute transmission probabilities, as the analytical solution was intractable. I ensured it was computationally intensive by requiring parameter sweeps and convergence checks.

How do you approach creating problems that simulate real research workflows? Can you give an example?

I start by identifying a real-world research challenge, such as optimizing the design of a photonic crystal. I then break it down into a problem that requires iterative simulation and analysis, mimicking the steps a researcher would take.

What numerical simulation methods are you most proficient in, and how have you applied them in your work?

I am proficient in finite element methods and Monte Carlo simulations. I have used them to model electromagnetic wave propagation in complex media and to simulate particle interactions in astrophysical contexts.

How do you ensure your problem statements are clear and that the solutions are verified?

I write problem statements with explicit definitions of variables and expected outcomes. I verify solutions by cross-checking with independent methods or known benchmarks, and I include step-by-step reasoning in the answer key.

This role requires working 10-20 hours per week on a project basis. How do you manage your time to balance this with other commitments?

I allocate specific blocks of time for project work, typically in the mornings when I am most productive. I use task lists and prioritize based on deadlines, ensuring I can deliver high-quality work consistently.

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 original optics problems that simulate real physics research workflows;
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 optics & physics practice;
Document problem statements clearly and provide verified correct answers.

What we look for

This opportunity is a good fit for physicians open to part-time, non-permanent projects. Ideally, contributors will have:

Degree in Physics (Theoretical, Experimental, or Computational) or related fields;
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 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 $29 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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