About the job
We invite you to submit your CV in English, specifying your level of English proficiency.
Mindrift is a pioneering platform that connects talented specialists with project-based AI opportunities in collaboration with leading technology companies. Our focus is on the testing, evaluation, and enhancement of AI systems. Please note that participation is project-based and does not entail permanent employment.
Opportunity Overview
Each project presents unique challenges; contributors may be involved in the following activities:
- Crafting original computational physics problems that emulate real-world physics research workflows;
- Developing challenges that necessitate Python programming solutions utilizing libraries such as Numpy, SciPy, and Sympy;
- Ensuring that problems are computationally intensive and not solvable manually within practical timeframes (days/weeks);
- Creating scenarios that require complex reasoning chains across mechanics, electromagnetism, thermodynamics, and quantum mechanics;
- Drawing upon genuine research dilemmas or real-world applications from the field of physics;
- Validating solutions through Python using established physics simulation libraries;
- Clearly documenting problem statements and providing verified, accurate solutions.
Ideal Candidate Profile
This opportunity suits physicists with Python expertise looking for part-time, non-permanent engagements. We seek individuals who 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 similar programming languages also acceptable;
- A minimum of 2 years of professional experience, which may include applied, research, or teaching roles;
- Experience with numerical simulation methods;
- The ability to design problems reflecting authentic physics research workflows;
- Creative problem-solving skills across various physics domains;
- A strong grasp of physics modeling and approximation techniques;
- Exceptional written English skills (C1+ level).
Application Process
Apply → Pass qualification(s) → Join a project → Complete tasks → Get compensated
Project Engagement Details
For this project, contributors can expect to dedicate approximately 10–20 hours per week during active phases, contingent on project requirements. This is an estimation and not a guaranteed workload.
Compensation Structure
Contributors can earn up to $10 per hour, influenced by their expertise and contribution pace. Compensation varies between projects, reflecting the scope, complexity, and level of expertise required. Please be aware that other projects on the platform may offer distinct earning rates based on their specifications.
