About the job
We encourage applicants to submit their CV in English, along with their English proficiency level.
Mindrift specializes in connecting talented professionals with exciting project-based AI opportunities at leading tech companies. Our focus is on testing, evaluating, and enhancing AI systems. This is a project-based role and not a permanent position.
Key Responsibilities:
While each project presents unique challenges, contributors may be tasked with:
- Creating rigorous statistical problems that mirror professional practices;
- Assessing AI solutions for accuracy, underlying assumptions, and limitations;
- Validating calculations or simulations using Python libraries such as NumPy, Pandas, SciPy, Statsmodels, and Scikit-learn;
- Refining AI reasoning to ensure it meets industry-standard logic;
- Implementing structured criteria for scoring multi-step problems.
Qualifications:
This position is ideal for statisticians with a solid background in Python who are seeking part-time, non-permanent projects. Candidates should ideally 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;
- Proficiency in English (C1/C2 level) with strong written communication skills;
- Expertise in Python for numerical validation;
- A reliable internet connection.
Certifications (e.g., PStat, CAP, SAS Certifications) and experience with international or applied projects are considered advantageous.
How the Application Process Works:
Apply → Pass qualifications → Join a project → Complete assigned tasks → Receive payment.
Project Time Commitment:
During active phases, tasks are expected to require approximately 10–20 hours per week, depending on project needs. This is an estimate and may vary.
Compensation:
- Compensation for contributions can be up to $34/hour*
- Compensation can be fixed per project or determined individually based on project requirements;
- Some projects may offer performance-based incentives.
*Note: Rates are subject to variation based on expertise, assessment of skills, location, and project requirements. Highly specialized experts may receive higher rates, while lower rates may apply during onboarding or non-core project phases. Payment specifics will be provided per project.

