About the job
Please submit your CV in English, indicating your level of English proficiency.
Mindrift specializes in connecting experts with project-based AI opportunities for leading technology companies, focusing on the evaluation and enhancement of AI systems. Note that participation is project-based and does not constitute permanent employment.
Opportunity Overview
Each project presents distinct tasks, which may include:
- Creating original computational physics problems that replicate genuine physics research workflows;
- Formulating challenges that necessitate Python programming for resolution (utilizing libraries such as Numpy, SciPy, and Sympy);
- Guaranteeing that problems are computationally demanding and cannot be manually resolved within a reasonable timeframe (days/weeks);
- Devising challenges that necessitate complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;
- Grounding problems in authentic research dilemmas or practical applications from physics;
- Validating solutions using Python and standard physics simulation libraries;
- Clearly documenting problem statements and providing verified correct answers.
Ideal Candidate Profile
This position is well-suited for optical engineers 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 related fields;
- Proficiency in Python for numerical validation. Proficiencies in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any domain-specific libraries may also be considered;
- A minimum of 2 years of professional experience, including applied, research, or teaching experience;
- Experience with numerical simulation techniques;
- The capability to design problems that reflect authentic physics research workflows;
- Creative problem-solving skills across various physics domains;
- Familiarity with physics modeling and approximation strategies;
- Strong written English skills (C1+ level).
Process Overview
Apply → Pass qualifications → Join a project → Complete tasks → Receive compensation
Project Commitment
For this project, tasks are estimated to require approximately 10–20 hours per week during active phases, contingent on project requirements. This estimate is not a guaranteed workload and applies only while the project is active.
Compensation Details
Contributors can earn up to $14 per hour, depending on their level of expertise and contribution pace. Compensation may vary across projects based on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning opportunities based on their specific requirements.
