About the job
Please submit your CV in English and specify your level of English proficiency.
Mindrift bridges specialized talent with project-based AI opportunities for top-tier tech firms, concentrating on the testing, evaluation, and enhancement of AI systems. This position is project-based and does not entail permanent employment.
Key Responsibilities:
- Craft innovative computational physics problems that emulate genuine physics research workflows;
- Develop problems that necessitate Python programming for resolution (using libraries such as Numpy, SciPy, Sympy);
- Ensure that problems are computationally demanding and cannot be solved manually in a reasonable timeframe;
- Design problems that require sophisticated reasoning across mechanics, electromagnetism, thermodynamics, and quantum mechanics;
- Base problems on authentic research challenges or practical applications drawn from physics practice;
- Verify solutions using Python with standard physics simulation libraries;
- Clearly document problem statements and provide validated correct answers.
Ideal Candidate:
This role is suited for quantum researchers with Python experience who are available for part-time, non-permanent projects. The ideal candidates will possess:
- A degree in Physics (Theoretical, Experimental, or Computational) or a related field;
- Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or any programming language is acceptable;
- A minimum of 2 years of professional experience, including applied, research, or teaching roles;
- Experience with numerical simulation methodologies;
- The ability to design problems that reflect real physics research workflows;
- Creative problem design skills across various physics disciplines;
- Familiarity with physics modeling and approximation techniques;
- Strong command of written English (C1+ level).
Process Overview:
Apply → Pass qualifications → Join a project → Complete tasks → Receive payment.
Project Time Expectations:
For this project, tasks are anticipated to require approximately 10–20 hours per week during active phases, contingent upon project demands. This is an estimate and not guaranteed.
Compensation:
Contributors can earn up to $10 per hour, depending on their level of contribution and pace. Compensation varies across projects based on scope, complexity, and expertise required. Please note that other projects on the platform may offer different earning levels based on their specifications.

