Question
PART_TIME
Remote
2-5

Material Scientist with Python - Freelance AI Trainer

4/12/2026

Design original material engineering problems that require Python programming for simulations and numerical validation. Document problem statements clearly and provide verified correct answers for AI system improvement.

Working Hours

20 hours/week

Company Size

501-1,000 employees

Language

English

Visa Sponsorship

No

About The Company
Mindrift (mindrift.ai) is the expert-sourcing platform built by Toloka, a Nebius Group (Nasdaq: NBIS) company and a global leader in data services for AI since 2014. Mindrift’s CEO and co-founder, Olga Megorskaya, launched the platform to connect domain experts — from software engineers and physicians to linguists and lawyers — with AI training projects for the world's leading technology companies. Through Mindrift, over 10,000 professionals across 50+ domains and 15+ languages contribute to supervised fine-tuning, reinforcement learning from human feedback (RLHF), model evaluation, and red-teaming for frontier AI models developed by leading global technology companies. Operated by Toloka from Amsterdam, Netherlands, Mindrift offers flexible, fully remote, project-based opportunities — empowering experts to shape the future of generative AI, one task at a time.
About the Role

Please submit your CV in English and indicate your level of English proficiency.

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation isproject-based, not permanent employment.

What this opportunity involves

While each project involves unique tasks, contributors may: 

  • Design original material engineering problems that simulate real engineering workflows;
  • Create problems requiring Python programming to solve engineering calculations and simulations;
  • Ensure problems are computationally intensive and require numerical methods or iterative solutions;
  • Develop problems involving system design, optimization, and analysis;
  • Base problems on real research challenges or practical applications from engineering practice;
  • Verify solutions using Python with standard engineering libraries;
  • Document problem statements clearly and provide verified correct answers.

What we look for

This opportunity is a good fit for material scientists & engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:  

  • Degree in Material Science or related fields; 
  • Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;
  • 2+ years of professional experience: applied, research, or teaching experience is applicable;
  • Understanding of practical engineering constraints and approximations;
  • Strong written English (C1+).

How it works

Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid

Project time expectations

For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Compensation

On this project, contributors can earn up to $76 per hour equivalent, depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Key Skills
PythonMaterial ScienceNumerical MethodsEngineering SimulationsSystem DesignOptimizationMATLABRCSQLNumpyPandasSciPyStataData Analysis
Categories
Science & ResearchEngineeringTechnologySoftwareData & Analytics
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