About the job
Please submit your CV in English, detailing your level of English proficiency.
Mindrift is a dynamic connector of talented individuals to project-based artificial intelligence opportunities with renowned technology companies, focusing on the testing, evaluation, and enhancement of AI systems. Engagements are project-based and do not imply permanent employment.
Project Involvement
While each assignment presents distinct challenges, contributors may:
- Create rigorous statistical problems that mirror real-world applications;
- Assess AI solutions for accuracy, assumptions, and limitations;
- Validate computations or simulations using Python libraries such as NumPy, Pandas, SciPy, Statsmodels, and Scikit-learn;
- Enhance AI reasoning to adhere to industry-standard logic;
- Utilize structured scoring criteria for complex, multi-step problems.
Ideal Candidate Profile
This role is suited for statisticians with Python expertise who are interested in part-time, non-permanent project work. Preferred qualifications include:
- 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;
- Proficient written English skills (C1/C2 level);
- Strong Python capabilities for numerical validation;
- A reliable internet connection.
Possession of professional certifications (e.g., PStat, CAP, SAS Certifications) and experience in international or applied projects will be considered advantageous.
Process Overview
Application → Qualification Process → Project Assignment → Task Completion → Compensation
Project Time Commitment
This position requires an estimated commitment of 10–20 hours per week during active project phases, contingent upon specific project demands. This estimate is not a guarantee of workload and applies only while the project is active.
Compensation
- Compensation for contributions, with rates up to $34/hour*;
- Fixed project rates or individual rates may apply, depending on the project;
- Some projects may offer additional incentive payments.
*Note: Compensation rates vary based on expertise, skill assessments, location, project requirements, and other factors. Higher rates may be available for highly specialized professionals, while lower rates may apply during onboarding or non-essential project phases. Payment specifics are provided per project.

