O pozici
Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.
Co budeš dělat
- Design original computational statistics problems that simulate real mathematical research workflows;
- Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy);
- Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);
- Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis;
- Base problems on real research challenges or practical applications from mathematical practice;
- Verify solutions using Python with standard mathematical libraries;
- Document problem statements clearly and provide verified correct answers.
Koho hledáme
- This opportunity is a good fit for statistics specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:
- Degree in Statistics or related fields;
- Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;
- 2+ years of professional experience: applied, research, or teaching experience is applicable;
- Strong written English (C1+);
- Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.
Benefity
- Project time expectations: For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.
- Compensation: On this project, contributors can earn up to $50 per hour equivalent, depending on their level and pace of contribution.
- Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.
