About the job
We invite you to submit your CV in English and specify your level of English proficiency.
At Mindrift, we connect talented professionals with exciting, project-based AI opportunities for prestigious technology companies. Our focus is on evaluating, testing, 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 as a contributor, you will:
- Design innovative computational physics problems that replicate authentic physics research workflows.
- Develop problems necessitating Python programming for solutions (utilizing libraries such as Numpy, SciPy, Sympy).
- Ensure the problems are computationally intense, requiring extensive time to solve (days or weeks).
- Create problems that involve complex reasoning in areas such as mechanics, electromagnetism, thermodynamics, and quantum mechanics.
- Base problems on genuine research challenges or practical applications in physics.
- Verify solutions using Python and established physics simulation libraries.
- Clearly document problem statements and provide verified correct answers.
Qualifications We Seek:
This opportunity is ideal for physicists experienced in Python who are open to part-time, non-permanent projects. The ideal candidates will possess:
- A degree in Physics (Theoretical, Experimental, or Computational) or related disciplines.
- Proficiency in Python for numerical validation. Equivalent experience in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or domain-specific libraries is acceptable.
- A minimum of 2 years of professional experience, which may include applied, research, or teaching roles.
- Familiarity with numerical simulation techniques.
- The ability to craft problems that accurately reflect real physics research workflows.
- Creative problem-solving skills across various physics domains.
- Knowledge of physics modeling and approximation methods.
- Excellent written English skills (C1+ level).
How the Process Works:
Apply → Complete qualifications → Join a project → Perform tasks → Receive payment.
Project Commitment:
The estimated workload for this project is approximately 10–20 hours per week during active phases, depending on project requirements. This is an estimate and not a guaranteed workload.
Compensation Details:
Contributors may earn up to $35 per hour, contingent upon their contribution level and pace. Compensation varies by project and is influenced by the scope, complexity, and required expertise.
