About the job
We invite you to submit your CV in English and specify your level of English proficiency.
At Mindrift, we facilitate connections between skilled professionals and exciting project-based AI opportunities with top-tier technology firms. Our focus is on enhancing, testing, and evaluating AI systems. This is a project-based engagement rather than a permanent position.
Opportunity Overview
Each project presents distinct challenges, and contributors are expected to:
- Craft rigorous statistical problems that mirror industry standards;
- Assess AI solutions for accuracy, assumptions, and limitations;
- Utilize Python libraries (NumPy, Pandas, SciPy, Statsmodels, Scikit-learn) to verify calculations or simulations;
- Enhance AI reasoning to conform to industry-standard logic;
- Implement structured scoring criteria for complex, multi-step problems.
Desired Qualifications
This role is ideal for statisticians with a strong Python background seeking part-time, non-permanent projects. The ideal candidates will possess:
- A degree in Statistics or a related field, such as Probability Theory, Mathematical Statistics, or Applied Statistics;
- A minimum of 3 years of professional experience in mathematics;
- Excellent command of written English (C1/C2 level);
- Proficient in Python for numerical validation;
- A reliable internet connection.
Professional certifications (e.g., PStat, CAP, SAS Certifications) and experience in international or applied projects will be considered advantageous.
Engagement Process
Application → Qualification Assessment → Project Onboarding → Task Execution → Compensation
Project Commitment
During active phases, tasks are projected to require approximately 10–20 hours per week, contingent on project demands. This estimate is not a guarantee and applies only while the project is ongoing.
Compensation Structure
- Compensated contributions, with hourly rates up to $21/hour*
- Fixed project rates or individual compensation based on project specifications;
- Incentive payments may be available for certain projects.
*Note: Rates may vary based on expertise, skills evaluation, location, project requirements, and other factors. Highly specialized experts may receive higher rates. Lower rates might apply during onboarding or non-core project phases. Payment specifics will be provided per project.

