About the job
To apply, please submit your CV in English and specify your English proficiency level.
Mindrift serves as a bridge connecting professionals with project-based AI opportunities at leading technology companies, focusing on the testing, evaluation, and enhancement of AI systems. This role involves project-based participation, rather than permanent employment.
Opportunity Overview
While the tasks for each project differ, contributors can expect to:
- Develop robust statistical problems that mirror professional practices;
- Assess AI solutions for accuracy, underlying assumptions, and limitations;
- Utilize Python (NumPy, Pandas, SciPy, Statsmodels, and Scikit-learn) to verify calculations or simulations;
- Enhance AI reasoning capabilities to meet industry-standard logic;
- Implement structured scoring criteria for multi-step problems.
Ideal Candidate Profile
This opportunity is well-suited for statisticians with Python expertise who are open to part-time, temporary projects. The ideal candidates will possess:
- A degree in Statistics or related disciplines, 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 skills for numerical validation;
- A reliable internet connection.
Professional certifications (e.g., PStat, CAP, SAS Certifications) and experience with international or applied projects are advantageous.
Application Process
Apply → Successfully complete qualifications → Join a project → Carry out tasks → Receive payment
Project Commitment
Tasks for this project are expected to require approximately 10–20 hours per week during active periods, based on specific project needs. This is an estimate and does not guarantee workload during inactive phases.
Compensation Details
- Contributors will be compensated at rates of up to $21/hour*;
- Compensation may be structured as fixed project rates or individual rates based on project specifics;
- Some projects may offer incentive payments.
*Note: Compensation rates can vary depending on expertise, skills assessment, location, project requirements, and other factors. Higher rates may be available for specialized experts, while lower rates may apply during onboarding or non-critical project phases. Payment specifics are shared per project.

