About the job
We invite you to submit your CV in English, along with your proficiency level in the English language.
Mindrift serves as a bridge, connecting experts with AI project opportunities from leading technology firms, concentrating on the evaluation, testing, and enhancement of AI systems. Please note that participation is based on projects rather than permanent employment.
Opportunity Overview:
Each project is unique, and contributors may be tasked with:
- Creating original computational physics problems that replicate authentic physics research workflows;
- Designing problems that necessitate Python programming for resolution (utilizing libraries such as Numpy, SciPy, and Sympy);
- Ensuring that problems are computationally demanding, requiring extended timeframes (days/weeks) to solve manually;
- Generating problems that involve complex reasoning chains across mechanics, electromagnetism, thermodynamics, and quantum mechanics;
- Formulating problems based on real-world research challenges or practical applications in the field of physics;
- Verifying solutions through Python with established physics simulation libraries;
- Clearly documenting problem statements and supplying verified correct answers.
Qualifications We Seek:
This opportunity is ideal for physicists with Python experience, looking for part-time and non-permanent engagements. The ideal candidates will possess:
- A degree in Physics (Theoretical, Experimental, or Computational) or related disciplines;
- 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 may include applied, research, or teaching roles;
- Experience with numerical simulation techniques;
- The capability to design problems that reflect real physics research workflows;
- Innovative thinking in problem design across various physics domains;
- Knowledge of physics modeling and approximation methods;
- Strong written English skills (C1+).
Process:
Apply → Complete qualifications → Engage in a project → Execute tasks → Get compensated.
Project Commitment:
For this role, tasks are projected to require approximately 10-20 hours per week during active phases, contingent on project demands. Please remember that this is an estimate and not a guaranteed workload.
Compensation:
Participants can earn up to $29 per hour, based on contribution level and efficiency. Compensation varies across projects, influenced by their scope, complexity, and necessary expertise. Note that other projects on the platform may offer different compensation levels based on their specific requirements.

