About the job
We invite you to submit your CV in English and detail your proficiency in the English language.
At Mindrift, we bridge the gap between talented specialists and project-based AI opportunities with top-tier tech companies, concentrating on the testing, evaluation, and enhancement of AI systems. This role is project-based and does not offer permanent employment.
Role Overview
Each project will present distinct challenges, and contributors may be tasked with:
- Crafting complex statistical problems that reflect real-world applications;
- Assessing AI solutions for accuracy, underlying assumptions, and limitations;
- Validating computations or simulations utilizing Python libraries such as NumPy, Pandas, SciPy, Statsmodels, and Scikit-learn;
- Enhancing AI reasoning to meet industry-standard logic;
- Implementing structured scoring criteria for multi-step problems.
Ideal Candidate Profile
This opportunity is well-suited for statisticians experienced in Python, seeking part-time, project-based engagement. The ideal candidates will possess:
- A degree in Statistics or a related discipline, 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 with international or applied projects will be considered advantageous.
Application Process
Apply → Successfully complete qualifications → Join a project → Fulfill tasks → Receive payment.
Time Commitment
For this project, it is estimated that tasks will require approximately 10–20 hours per week during active phases, based on project demands. This is an estimate and not a guaranteed workload.
Compensation
- Compensated contributions, with rates up to $34/hour*
- Compensation may be structured as a fixed project rate or individualized rates depending on the project.
- Some projects may offer incentive payments.
*Note: Compensation rates vary based on expertise, skills assessment, location, project requirements, and other factors. Highly specialized experts may receive higher rates. Lower rates may apply during onboarding or non-core project phases. Specific payment details are communicated for each project.

