About the job
We invite you to submit your CV in English and specify your English proficiency level.
Mindrift connects talented professionals with project-based AI opportunities for leading technology firms, focusing on the evaluation, testing, and enhancement of AI systems. This is a project-based engagement, not a full-time position.
Project Overview:
Each project involves distinctive tasks, including:
- Creating innovative computational physics problems that emulate authentic physics research workflows;
- Developing programming challenges that necessitate Python solutions (utilizing Numpy, SciPy, Sympy);
- Ensuring tasks are computationally demanding and unsuitable for manual resolution within practical timeframes (days/weeks);
- Constructing problems that involve complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;
- Grounding problems in real-world research challenges or applications from the field of physics;
- Validating solutions using Python with established physics simulation libraries;
- Clearly documenting problem statements and providing verified correct answers.
Candidate Profile:
This role is ideal for physicists with Python expertise who are interested in part-time, project-based engagements. Preferred qualifications include:
- A degree in Physics (Theoretical, Experimental, or Computational) or a related discipline;
- Proficiency in Python for numerical validation; knowledge of MATLAB, R, C, SQL, Numpy, Pandas, SciPy, Stata, or any programming language is equivalent;
- At least 2 years of relevant professional experience: applied, research, or teaching experience is applicable;
- Experience with numerical simulation methodologies;
- Ability to design problems that reflect authentic physics research workflows;
- Creative problem design skills across various physics domains;
- Familiarity with physics modeling and approximation techniques;
- Strong command of written English (C1+ proficiency).
Application Process:
Apply → Pass qualifications → Join a project → Complete tasks → Receive compensation.
Project Commitment:
For this project, contributors are expected to allocate approximately 10–20 hours per week during active phases, contingent on project demands. This is an estimate and not a guaranteed workload.
Compensation:
Contributors can earn up to $35 per hour, depending on their contribution level and pace. Compensation may vary across projects based on their scope, complexity, and required expertise.
