About the job
We invite you to submit your CV in English, clearly indicating your level of English proficiency.
Mindrift is a platform that connects talented specialists with project-based AI opportunities from leading tech companies, focusing on testing, evaluating, and enhancing AI systems. Please note that participation is on a project basis and does not constitute permanent employment.
Opportunity Overview
Each project involves distinct tasks, which may include:
- Creating rigorous statistical problems that mirror professional practices;
- Assessing AI solutions for accuracy, underlying assumptions, and constraints;
- Validating calculations or simulations utilizing Python libraries such as NumPy, Pandas, SciPy, Statsmodels, and Scikit-learn;
- Enhancing AI reasoning to meet industry-standard logic;
- Applying structured scoring criteria to multi-step problems.
Candidate Requirements
This role is ideal for statisticians with Python experience, open to part-time, non-permanent projects. Ideal candidates should possess:
- A degree in Statistics or related fields, such as Probability Theory, Mathematical Statistics, or Applied Statistics;
- A minimum of 3 years of professional experience in mathematics;
- Proficiency in written English (C1/C2 level);
- Strong Python skills for numerical validation;
- A reliable internet connection.
Professional certifications (e.g., PStat, CAP, SAS Certifications) and experience in international or applied projects will be advantageous.
Application Process
Apply → Pass qualifications → Join a project → Complete tasks → Get compensated.
Time Commitment
For this project, tasks are estimated to require approximately 10–20 hours per week during active phases, depending on project needs. Please note that this is an estimate and not a guaranteed workload, applicable only while the project is ongoing.
Compensation
Contributors can earn up to $34 per hour, depending on their expertise and contribution pace. Compensation may vary across projects based on their scope, complexity, and required knowledge. Please be aware that other projects on the platform may offer different earning levels based on their specific requirements.

