About the job
Please submit your CV in English along with your English proficiency level.
Mindrift connects talented specialists with dynamic project-based opportunities in artificial intelligence for top tech firms. Our focus is on testing, evaluating, and enhancing AI systems. Please note that participation is project-based and not intended as permanent employment.
Opportunity Overview
Each project features distinct tasks, and contributors may:
- Craft unique computational physics problems that replicate authentic research workflows;
- Devise problems that require Python programming for resolution (utilizing libraries such as Numpy, SciPy, Sympy);
- Ensure that problems are computationally intensive and cannot be manually solved within a reasonable timeframe (days/weeks);
- Develop challenges that involve complex reasoning across mechanics, electromagnetism, thermodynamics, and quantum mechanics;
- Base problems on genuine research dilemmas or practical applications in physics;
- Validate solutions using Python with established physics simulation libraries;
- Clearly document problem statements and provide verified, correct answers.
Candidate Profile
This role is ideal for physicists with Python expertise who are open to part-time, non-permanent projects. Our preferred candidates will possess:
- A degree in Physics (Theoretical, Experimental, or Computational) or a related field;
- Proficiency in Python for numerical validation. Competence in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, other domain-specific libraries, Stata, or any programming language is also acceptable;
- A minimum of 2 years of professional experience, whether in applied work, research, or teaching;
- Experience with numerical simulation techniques;
- The ability to design problems that reflect actual physics research workflows;
- Innovation in problem design across various physics disciplines;
- Familiarity with physics modeling and approximation methods;
- Strong written English skills (C1+ level).
How It Works
Apply → Pass qualifications → Join a project → Complete tasks → Get compensated
Project Commitment
For this project, tasks are expected to require approximately 10–20 hours per week during active phases, depending on project specifics. This estimate does not guarantee a consistent workload and is applicable only while the project remains active.
Compensation
Contributors can earn up to $17 per hour, contingent on their experience and contribution pace. Compensation varies between projects based on scope, complexity, and expertise required. Please note that other opportunities on our platform may have different earning potentials based on their individual requirements.

