About the job
Please submit your CV in English and indicate your level of English proficiency.
Mindrift bridges the gap between talented specialists and exciting project-based AI opportunities with leading technology firms, focusing on the testing, evaluation, and enhancement of AI systems. Note that participation is project-based and does not lead to permanent employment.
What This Role Entails:
While each project has its unique objectives, contributors will typically be involved in:
- Designing innovative computational physics problems that replicate authentic physics research workflows;
- Creating complex problems requiring Python programming (utilizing libraries such as Numpy, SciPy, and Sympy);
- Ensuring that problems are computationally intensive, necessitating resolution beyond manual capabilities within reasonable timeframes (spanning days to weeks);
- Formulating problems that demand intricate reasoning across areas such as mechanics, electromagnetism, thermodynamics, and quantum mechanics;
- Grounding problems in genuine research challenges or practical applications within the field of physics;
- Validating solutions through Python utilizing standard physics simulation libraries;
- Clearly documenting problem statements and providing verified correct answers.
Desired Qualifications:
This opportunity is ideally suited for optical engineers with a proficiency in Python who are seeking part-time, non-permanent projects. Preferred candidates will possess:
- A degree in Physics (Theoretical, Experimental, or Computational) or related disciplines;
- Proficiency in Python for numerical validation. Experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any relevant programming language is also acceptable;
- A minimum of 2 years of professional experience, including applicable applied, research, or teaching experience;
- Familiarity with numerical simulation methods;
- The capability to design problems that accurately reflect real physics research workflows;
- Creative problem-solving skills across various physics domains;
- Proficiency in physics modeling and approximation techniques;
- Strong written English skills (C1+ level).
Application Process:
Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid
Project Time Expectations:
Tasks are estimated to require approximately 10–20 hours per week during active phases, depending on project requirements. This estimate is not a guaranteed workload and applies only while the project is active.
Compensation:
Contributors can earn up to $35 per hour, contingent on their level of expertise and pace of contribution. Note that compensation may vary across projects based on their scope, complexity, and required expertise.
