Material Scientist with Python - Freelance AI Trainer

Mindrift; Dallas (TX); Hybrid; USD 86,375 - 123,019; Part time

Job summary

Mindrift offers project-based AI opportunities for specialists in Dallas, TX. Contributors will create and validate complex engineering problems and should have a degree in Material Science, along with 2+ years of relevant experience and strong Python skills. This part-time role allows flexible hours, with earnings up to $76 per hour based on contribution level and project scope. Ideal candidates will possess a strong command of written English (C1+).

Qualifications

• 2+ years of professional experience: applied, research, or teaching.
• Experience creating problems that involve system design and analysis.
• Familiarity with numerical methods or iterative solutions.

Responsibilities

• Design original material engineering problems.
• Create problems requiring Python programming for simulations.
• Base problems on real engineering challenges.

Skills

Python proficiency for numerical validation

Strong written English (C1+)

Understanding of practical engineering constraints

Education

Degree in Material Science or related fields

Tools

MATLAB

R

C

SQL

Numpy

Pandas

SciPy

Stata

Job 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 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 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.