About the job
We invite you to submit your CV in English, detailing your English proficiency level.
Mindrift is a dynamic platform that connects skilled professionals with project-based AI opportunities at top tech companies, emphasizing the assessment, evaluation, and enhancement of AI systems. Please note that this role is project-based and does not offer permanent employment.
Opportunity Overview
Each project presents unique challenges, and contributors may be required to:
- Devise innovative computational physics problems that replicate real-world physics research workflows;
- Generate problems that necessitate Python programming for resolution (utilizing Numpy, SciPy, Sympy);
- Ensure that problems are computationally demanding and cannot be resolved manually within practical timeframes (days/weeks);
- Create problems involving substantial reasoning chains across mechanics, electromagnetism, thermodynamics, and quantum mechanics;
- Base problems on authentic research challenges or practical scenarios from the field of physics;
- Validate solutions via Python using standard physics simulation libraries;
- Clearly document problem statements and provide verified solutions.
Preferred Qualifications
This opportunity is ideal for individuals with a background in physics and Python programming, who are interested in part-time, non-permanent projects. The ideal candidate should possess:
- A degree in Physics (Theoretical, Experimental, or Computational) or a related discipline;
- Proficiency in Python for numerical validation, with familiarity in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other domain-specific libraries considered equivalent;
- A minimum of 2 years of relevant professional experience: applicable experience includes applied research or teaching;
- Expertise in numerical simulation techniques;
- The ability to craft problems that reflect real physics research workflows;
- Creative problem-solving skills across various domains of physics;
- Strong written English skills (C1+).
How to Get Started
Interested candidates should apply, pass the qualifications, join a project, complete the tasks, and receive payment.
Project Commitment
For this project, tasks are estimated to require approximately 10–20 hours per week during active phases, subject to project requirements. This is an estimate and not a guaranteed workload, applicable only while the project is ongoing.
Compensation
Contributors can earn up to $45 per hour, depending on their experience and contribution pace. Please note that compensation may vary across projects based on scope, complexity, and required expertise.

