About the job
We invite you to submit your CV in English, along with your English proficiency level.
Mindrift is at the forefront of connecting talented specialists with project-based AI opportunities at leading technology firms, focusing on the testing, evaluation, and enhancement of AI systems. This is a project-based position and does not involve permanent employment.
Role Overview:
Each project presents its own unique challenges, and contributors may be expected to:
- Craft original computational physics problems that reflect authentic physics research methodologies;
- Develop problems requiring Python coding solutions (utilizing Numpy, SciPy, Sympy);
- Ensure the computational problems are intensive, necessitating a timeframe beyond manual solutions (days/weeks);
- Create problems that demand complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;
- Base problems on actual research dilemmas or practical applications within the field of physics;
- Validate solutions using Python and established physics simulation libraries;
- Clearly document problem statements and provide verified correct answers.
Ideal Candidate Profile:
This role is suitable for physicists with Python experience who are open to part-time, non-permanent projects. The ideal candidates will possess:
- A degree in Physics (Theoretical, Experimental, or Computational) or relevant fields;
- Proficiency in Python for numerical validation, with familiarity in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any domain-specific libraries being advantageous;
- At least 2 years of professional experience, whether in applied fields, research, or education;
- Experience in numerical simulation techniques;
- The capability to design problems that replicate real-world physics research workflows;
- Creative problem-design skills across various areas of physics;
- Familiarity with physics modeling and approximation approaches;
- Exceptional written English skills (C1+).
Application Process:
To apply, candidates will need to pass a qualification process before joining a project, completing tasks, and receiving compensation.
Project Time Commitment:
During active project phases, contributors can expect to dedicate approximately 10–20 hours per week, based on project needs. This is an estimate and not a guaranteed workload.
Compensation Details:
Contributors can earn up to $29 per hour, depending on their experience and pace of contribution. Compensation varies by project based on scope, complexity, and expertise required. Note that other projects on the platform may have different earning levels based on specific requirements.

