About the job
We kindly request that you submit your CV in English and specify your level of English proficiency.
Mindrift connects talented specialists with project-based AI opportunities at leading tech companies, focusing on the testing, evaluation, and enhancement of AI systems. Please note that participation is project-based and does not constitute permanent employment.
Opportunity Overview
Each project entails unique responsibilities, and contributors may be tasked with:
- Designing innovative computational physics problems that reflect authentic physics research workflows.
- Creating problems that necessitate Python programming for resolution (utilizing libraries such as Numpy, SciPy, Sympy).
- Ensuring that problems are computationally demanding and cannot be solved manually within reasonable timeframes (days or weeks).
- Developing problems that require complex reasoning across topics such as mechanics, electromagnetism, thermodynamics, and quantum mechanics.
- Formulating problems inspired by genuine research challenges or practical applications in physics.
- Validating solutions using Python with established physics simulation libraries.
- Clearly documenting problem statements and providing confirmed correct answers.
Qualifications We Seek
This position is ideal for physicists with experience in Python who are open to part-time, non-permanent projects. Preferred candidates will possess:
- A degree in Physics (Theoretical, Experimental, or Computational) or related disciplines.
- Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other programming languages is also acceptable.
- A minimum of 2 years of professional experience in applied research or teaching roles.
- Experience with numerical simulation methods.
- The ability to design problems that replicate real-world physics research workflows.
- Creative problem-solving skills across various physics domains.
- A solid understanding of physics modeling and approximation techniques.
- Exceptional written English skills (C1+ level).
How the Process Works
Apply → Pass qualifications → Join a project → Complete tasks → Receive payment
Project Time Commitment
For this project, tasks are estimated to require approximately 10–20 hours per week during active phases, depending on project demands. This is an estimate and not a guaranteed workload, applicable only during project activity.
Compensation
Participants can earn up to $76 per hour, contingent upon their level of expertise and contribution pace. Compensation may vary across projects based on scope, complexity, and required expertise; other projects on the platform may offer different earning levels based on their specific needs.

