About the job
Please submit your CV in English and indicate your level of English proficiency.
At Mindrift, we specialize in connecting talented professionals with exciting project-based AI opportunities for prominent tech companies, emphasizing the evaluation, testing, and enhancement of AI systems. This is a project-based role, not a permanent position.
What You Will Do:
- Devise original computational physics problems that replicate authentic physics research workflows;
- Formulate problems that utilize Python programming for resolution (utilizing Numpy, SciPy, Sympy);
- Ensure problems are computationally demanding and cannot be resolved manually in a practical timeframe (days/weeks);
- Create challenges that necessitate complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;
- Anchor problems in real research dilemmas or practical applications from the field of physics;
- Validate solutions using Python with established physics simulation libraries;
- Clearly document problem statements and provide verified correct answers.
Qualifications:
This is an ideal opportunity for optical engineers with Python experience who are seeking 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, with familiarity in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or any programming language being acceptable;
- A minimum of 2 years of relevant professional experience: applied, research, or teaching experience is valid;
- Experience with numerical simulation techniques;
- Capability to design problems that reflect genuine physics research workflows;
- Innovative thinking in problem design across various physics domains;
- Knowledge of physics modeling and approximation techniques;
- Strong written English skills (C1+ level).
Process Overview:
Apply → Successfully complete qualifications → Engage in a project → Fulfill tasks → Receive payment.
Project Commitment:
For this project, tasks are projected to require approximately 10–20 hours per week during active phases, contingent on project needs. This is an estimate and does not guarantee a specific workload while the project is active.
Compensation:
Contributors can earn up to $76 per hour, contingent on their level of expertise and contribution pace.
Compensation varies by project based on scope, complexity, and required expertise. Please note that other projects on our platform may offer different compensation levels based on their specific requirements.
