About the job
Please submit your CV in English, including your English proficiency level.
At Mindrift, we bridge specialized talent with innovative project-based AI opportunities at top technology firms, concentrating on the assessment, evaluation, and enhancement of AI systems. Please note that this is a project-based engagement and not a permanent position.
Opportunity Overview
Each project is distinct, but contributors may be engaged in tasks such as:
- Crafting original computational physics challenges that replicate authentic physics research workflows;
- Formulating problems that necessitate Python programming to solve, utilizing libraries such as Numpy, SciPy, and Sympy;
- Ensuring challenges are computationally demanding, making manual resolution impractical within typical time constraints (days to weeks);
- Developing problems that require complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;
- Grounding challenges in real-world research dilemmas or practical applications within the physics domain;
- Validating solutions through Python using established physics simulation libraries;
- Clearly documenting problem statements and providing verified, accurate solutions.
Candidate Profile
This role is ideal for physicists with Python experience who are open to part-time, non-permanent projects. The ideal candidates will 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 programming languages as equivalent;
- A minimum of 2 years of professional experience in applied research, academia, or teaching;
- Experience with numerical simulation techniques;
- The capability to design problems that reflect real physics research workflows;
- Innovative thinking in problem creation across various physics domains;
- Familiarity with physics modeling and approximation methodologies;
- Exceptional written English skills (C1+).
Application Process
Apply → Successfully complete qualifications → Join a project → Fulfill tasks → Receive payment
Project Commitment
Participants can expect to dedicate approximately 10–20 hours per week during active project phases, although this is an estimate and not a guaranteed workload.
Compensation
Compensation for this project can reach up to $45 per hour, contingent upon individual contribution level and pace. Compensation may vary by project based on scope, complexity, and required expertise. Please be aware that other projects on the platform may offer varied earning potentials based on their unique requirements.

