About the job
We invite you to submit your CV in English and specify your proficiency level in English.
Mindrift bridges the gap between specialists and project-based AI opportunities with leading tech companies, concentrating on the testing, evaluation, and enhancement of AI systems. Please note that participation is on a project basis rather than permanent employment.
Opportunity Overview
Each project presents unique challenges, and contributors may:
- Craft original computational statistics problems that reflect genuine mathematical research workflows;
- Develop problems requiring Python programming solutions utilizing libraries such as Numpy, SciPy, and Sympy;
- Ensure challenges are computationally intensive and cannot be solved manually in a reasonable timeframe (days or weeks);
- Create complex problems that involve non-trivial reasoning in fields like number theory, combinatorics, graph theory, and numerical analysis;
- Base problems on authentic research challenges or practical applications in mathematical practice;
- Verify solutions through Python with standard mathematical libraries;
- Clearly document problem statements and provide verified correct answers.
Candidate Profile
This role is ideally suited for statistics professionals proficient in Python who are open to part-time, non-permanent projects. We prefer candidates who possess:
- A degree in Statistics or related disciplines;
- Python skills for numerical validation. Proficiency in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, or equivalent programming languages is acceptable;
- A minimum of 2 years of professional experience, including applied, research, or teaching experience;
- Excellent written English skills (C1+);
- Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are advantageous.
Workflow Process
Apply → Pass qualifications → Join a project → Complete tasks → Get compensated
Project Commitment
For this project, tasks are anticipated to require approximately 10–20 hours per week during active phases, contingent upon project needs. This is an estimate and not a guaranteed workload while the project is active.
Compensation
Contributors can earn up to $43 per hour, depending on their expertise and contribution pace. Compensation varies by project based on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their specific requirements.
