About the job
We invite you to submit your CV in English, clearly indicating your level of proficiency.
At Mindrift, we bridge the gap between specialized talent and innovative AI projects for top-tier tech firms. We focus on evaluating, testing, and enhancing AI systems. Please note that participation is project-based and does not lead to permanent employment.
About the Opportunity
Each project presents distinct challenges, and contributors may:
- Craft original computational physics problems that emulate authentic physics research workflows;
- Develop Python-based solutions utilizing libraries such as Numpy, SciPy, and Sympy;
- Create computationally intensive problems that cannot be solved manually within practical timeframes (days/weeks);
- Formulate problems that necessitate complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;
- Base problems on genuine research challenges or practical applications from the field of physics;
- Validate solutions using Python with standard physics simulation libraries;
- Document problem statements and provide verified correct solutions.
Ideal Candidate Profile
This role is well-suited for optical engineers with Python experience who are interested in part-time, non-permanent opportunities. The ideal candidate will possess:
- A degree in Physics (Theoretical, Experimental, or Computational) or related fields;
- 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, which can include applied, research, or teaching roles;
- Experience with numerical simulation techniques;
- The ability to design problems that reflect real physics research workflows;
- Creative skills in problem design across various areas of physics;
- Knowledge of physics modeling and approximation methods;
- Strong written English skills (C1+ level).
Application Process
Apply → Meet qualification criteria → Join a project → Execute tasks → Receive compensation.
Project Commitment
For this project, expect to dedicate around 10–20 hours per week during active phases, depending on project demands. This is an estimate and not a guaranteed workload, applicable only while the project is active.
Compensation
Contributors can earn up to $76 per hour, depending on their expertise and contribution pace. Compensation may vary across projects based on their specific scope, complexity, and required proficiency. Other projects on the platform may offer different earning potential based on their unique requirements.

