Material Scientist with Python - Freelance AI Trainer

Mindrift; Colombia; Híbrido; COP 78.080.483 - 104.107.311; A tiempo parcial

Descripción de la vacante

Mindrift in Colombia is offering part-time, project-based roles for material scientists and engineers. Contributors will design engineering problems requiring Python programming and numerical validation. Ideal candidates will have a relevant degree and 2+ years of experience. Compensation is up to $17 per hour, based on contribution levels. Fluency in English is essential. Flexible hours are expected during active project phases, around 10-20 hours weekly.

Formación

• 2+ years of professional experience in applied, research, or teaching.
• Experience in simulation and engineering workflows.
• Ability to document problem statements clearly.

Responsabilidades

• Design original engineering problems simulating real workflows.
• Create problems requiring Python for calculations.
• Verify solutions using standard engineering libraries.

Conocimientos

Python proficiency for numerical validation

Strong written English (C1+)

Understanding of practical engineering constraints

Educación

Degree in Material Science or related fields

Herramientas

MATLAB

R

C

SQL

NumPy

Pandas

SciPy

Stata

Descripción del empleo

Mindrift connects specialists with project‑based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project‑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 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+).

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 $17 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.