About the job
Please submit your CV in English and indicate your level of English proficiency.
Mindrift is a dynamic platform that connects talented specialists with exciting project-based AI opportunities at leading tech companies. Our focus is on testing, evaluating, and enhancing AI systems. Please note that participation is project-based and does not constitute permanent employment.
Overview of the Role
Each project presents unique challenges, and contributors will have the opportunity to:
- Design innovative computational physics problems that reflect authentic physics research workflows;
- Develop problems that necessitate Python programming for solution (utilizing libraries such as Numpy, SciPy, and Sympy);
- Create computationally intensive challenges that require complex reasoning, particularly in mechanics, electromagnetism, thermodynamics, and quantum mechanics;
- Base their problems on real-world research issues or practical applications in the field of physics;
- Verify solutions using Python and established physics simulation libraries;
- Clearly document problem statements and provide validated solutions.
Qualifications We Seek
This opportunity is ideal for physicists with Python experience who are interested in part-time, non-permanent projects. Preferred qualifications include:
- A degree in Physics (Theoretical, Experimental, or Computational) or a related field;
- Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other programming languages is also acceptable;
- A minimum of 2 years of relevant professional experience, including applied, research, or teaching roles;
- Familiarity with numerical simulation methods;
- A knack for designing problems that simulate genuine physics research workflows;
- Creative problem-solving skills across various physics disciplines;
- Knowledge of physics modeling and approximation techniques;
- Strong command of written English (C1 or higher).
Application Process
Interested candidates can apply by submitting their CV, passing the necessary qualifications, and joining a project where they will complete tasks and receive compensation.
Project Time Commitment
Tasks for this project are expected to require approximately 10–20 hours per week during active phases, contingent upon project requirements. This is an estimate and not a guaranteed workload.
Compensation Structure
Contributors can earn up to $10 per hour, based on their expertise and contribution pace. Compensation may vary based on the project’s scope, complexity, and required expertise. Be aware that other projects may offer different compensation levels.
