About the job
This freelance, project-based position with toloka-ai (via Mindrift) connects experienced professionals to projects focused on testing, evaluating, and improving AI systems for leading technology companies. The role is remote, open to candidates based in New York, United States, and does not offer permanent employment.
Role overview
The AI Trainer - Statistics & Python Specialist creates challenging computational statistics problems modeled on real-world mathematical research. Each problem should require advanced reasoning and substantial computation, often involving Python programming with libraries such as Numpy, SciPy, and Sympy. Problems must be complex enough that they cannot be solved manually in a reasonable timeframe.
Scenarios should reflect genuine research challenges or practical applications in mathematics, including topics like number theory, combinatorics, graph theory, and numerical analysis. Each problem requires clear documentation, a verified solution, and validation using Python and standard mathematical libraries.
Requirements
- Degree in Statistics or a related field
- Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, Stata, or similar tools is valued
- Minimum 2 years of relevant professional experience (applied, research, or teaching)
- Strong written English (C1 level or higher)
- Professional certifications (such as CMME, SAS Certifications, CAP) and experience with international or applied projects are considered a plus
Project process
- Apply by submitting a CV in English and stating English proficiency
- Complete qualification steps
- Join a project when matched
- Work on assigned tasks
- Receive compensation for completed work
Time commitment
Active project phases typically require about 10–20 hours per week. Workload may fluctuate and is not guaranteed outside of active project periods.
Compensation
Rates can reach up to $73 per hour, depending on expertise and task completion rate. Compensation varies by project, reflecting complexity and required skills.

