About the job
We invite you to submit your CV in English and include your level of English proficiency.
Mindrift connects talented specialists with project-based AI opportunities for top tech companies, with a focus on the testing, evaluation, and enhancement of AI systems. This is a project-based opportunity, not a permanent position.
About the Opportunity
Each project consists of unique tasks, including but not limited to:
- Creating innovative computational physics problems that replicate authentic physics research workflows;
- Developing problems that necessitate Python programming for solutions (utilizing Numpy, SciPy, Sympy);
- Ensuring problems are computationally demanding and cannot be resolved manually within a reasonable timeframe (days/weeks);
- Formulating problems that require complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;
- Grounding problems in genuine research challenges or practical applications from physics;
- Validating solutions using Python and established physics simulation libraries;
- Clearly documenting problem statements and providing verified correct answers.
What We Seek
This role is ideal for professionals with a background in physics and experience in Python, who are open to part-time, non-permanent projects. Preferred qualifications include:
- A degree in Physics (Theoretical, Experimental, or Computational) or related fields;
- Proficiency in Python for numerical validation, with familiarity in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other programming languages being equivalent;
- At least 2 years of professional experience, which can include applied, research, or teaching roles;
- Experience with numerical simulation methods;
- Capability to design problems that reflect real physics research workflows;
- Creative problem-solving skills across various physics domains;
- Understanding of physics modeling and approximation techniques;
- Strong command of written English (C1+).
Application Process
Apply → Pass qualification(s) → Join a project → Complete tasks → Get compensated
Project Time Expectations
Tasks for this project are estimated to require around 10–20 hours per week during active phases, depending on project needs. Please note this is an estimate and not guaranteed.
Compensation
Contributors can earn up to $45 per hour, contingent on their level of expertise and contribution pace. Compensation varies with project scope, complexity, and required skills.

