Material Scientist with Python - Freelance AI Trainer at Mindrift

Milan, Lombardy, Italy -

Full Time

Start Date

Immediate

Expiry Date

08 Sep, 26

Salary

29.0

Posted On

10 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Material Science, Numerical Methods, System Design, Optimization, Data Analysis, Numpy, Pandas, SciPy, MATLAB, R, C, SQL, Stata, English Proficiency, Engineering Calculations

Industry

technology;Information and Internet

Description

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 $29 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.

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Responsibilities

Design and develop original material engineering problems and simulations to test and improve AI systems. Verify solutions using Python and standard engineering libraries while documenting problem statements clearly.