About the job
We kindly request that you submit your CV in English along with your English proficiency level.
At Mindrift, we bridge the gap between skilled professionals and project-based AI opportunities with top technology companies. Our focus is on the testing, evaluation, and enhancement of AI systems. Please note that this is a project-based opportunity rather than permanent employment.
What You Will Do
While each project presents distinct challenges, contributors may be tasked with:
- Crafting original computational physics problems that emulate authentic physics research workflows.
- Formulating problems necessitating Python programming for solutions, utilizing libraries such as Numpy, SciPy, and Sympy.
- Ensuring that problems require substantial computational effort, making manual solutions impractical within reasonable timeframes.
- Developing problems that involve complex reasoning chains across mechanics, electromagnetism, thermodynamics, and quantum mechanics.
- Grounding problems in real research challenges or practical applications from the field of physics.
- Validating solutions through Python using standard physics simulation libraries.
- Documenting problem statements with clarity and providing verified correct answers.
Who We Are Looking For
This role is ideal 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 related disciplines.
- Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or any programming language will also be considered.
- At least 2 years of professional experience, including applicable applied, research, or teaching experience.
- Experience with numerical simulation techniques.
- The ability to design problems reflecting real physics research workflows.
- Creative problem design skills across various physics domains.
- Familiarity with physics modeling and approximation methods.
- Strong written English skills (C1+ level).
How the Process Works
Apply → Pass qualifications → Join a project → Complete tasks → Get compensated.
Project Time Expectations
Tasks for this project are estimated to require approximately 10–20 hours per week during active phases, based on specific project requirements. This is an estimate and not a guaranteed workload, applicable only while the project is active.
Compensation
Contributors can earn up to $10 per hour, depending on their level of expertise and contribution pace. Compensation varies across projects based on scope, complexity, and required expertise, and may differ from other projects on the platform.

