About the job
We invite you to submit your CV in English, including your proficiency level in the language.
At Mindrift, we bridge the gap between talented specialists and exciting AI projects with top technology companies, focusing on the testing, evaluation, and enhancement of AI systems. Please note that this role is project-based and does not offer permanent employment.
Opportunity Overview:
Each project presents unique challenges. As a contributor, you will be responsible for:
- Creating innovative computational physics problems that accurately reflect real-world physics research workflows;
- Developing problems that necessitate Python programming solutions utilizing libraries such as Numpy, SciPy, and Sympy;
- Ensuring that problems are computationally intensive and cannot be resolved manually within a reasonable timeframe (days to weeks);
- Formulating questions that require complex reasoning in areas such as mechanics, electromagnetism, thermodynamics, and quantum mechanics;
- Drawing inspiration from genuine research challenges or practical applications within the physics realm;
- Validating solutions through Python using established physics simulation libraries;
- Clearly documenting problem statements and providing verified correct answers.
Ideal Candidate Profile:
This role is perfect for individuals with a background in physics who possess Python experience and are open to part-time, non-permanent roles. The ideal candidates will have:
- A degree in Physics (Theoretical, Experimental, or Computational) or related fields;
- Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any programming language can be considered equivalent;
- A minimum of 2 years of professional experience in applied research or educational settings;
- Experience with numerical simulation methods;
- Capability to design problems that emulate authentic physics research workflows;
- A creative approach to problem design across various physics domains;
- Familiarity with physics modeling and approximation techniques;
- Strong written English skills (C1+ level).
Application Process:
Apply → Meet qualification criteria → Join a project → Complete assignments → Receive compensation.
Project Time Commitment:
Tasks are expected to require approximately 10–20 hours per week during active project phases, based on the specific project needs. Note that this is an estimate and not a guaranteed workload.
Compensation:
Contributors can earn up to $10 per hour, depending on their contribution level and pace. Compensation varies across projects based on their scope, complexity, and expertise required. Please be aware that other projects on the platform may offer different earning rates based on their specific requirements.

