Research Physicist with Python Experience - Freelance AI Trainer
Join Mindrift for a remote, project-based opportunity collaborating with top tech companies to test and refine AI systems through unique computational physics tasks. As a contributor, you’ll design and document challenging problems inspired by real research, requiring Python (NumPy, SciPy, Sympy) solutions and in-depth physics knowledge. Compensation is up to $35/hour, with flexible, part-time engagement (10–20 hours/week during active project phases). This is not a permanent or employment-based position.
Ideal candidates hold a degree in Physics or a related field, possess 2+ years’ experience (applied, research, or teaching), and demonstrate proficiency in Python for numerical simulation and problem verification. Creative thinking, familiarity with physics modeling, and strong English communication skills (C1+) are essential. Knowledge of MATLAB, R, C, SQL, Pandas, Stata, or domain-specific simulation tools is a plus.
Apply by submitting your CV in English and indicating your English proficiency level. After a qualification step, you can join projects and receive payment based on contributions. Workloads and compensation may vary across different projects posted on the Mindrift platform.
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 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 for
This 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 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 $35 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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