Auto Engineering Expert with Python - Freelance AI Trainer

Please submit your resume in English and indicate your level of English.

About Mindrift

Mindrift platform collaborates with leading AI companies developing some of the world’s most advanced and groundbreaking models. We connect domain experts with projects that push the boundaries of what AI can learn, understand, and create.

About the project

We are seeking experienced engineers (Mechanical, or Automotive) to create computationally intensive engineering problems for an advanced AI evaluation project. Your work will help train models to handle complex, multi-step challenges that mirror real-world research and analytical workflows.This is a project-based freelance opportunity.

What you'll do

• Design original computational 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.

Problem domains (Examples)

• Automotive Engineering: Vehicle dynamics, internal combustion engines, powertrain design, aerodynamics, thermal management, structural integrity, control and safety systems, fuel efficiency optimization.
• Mechanical Engineering: Structural analysis, heat transfer, fluid dynamics, dynamics and vibrations, finite element analysis.
• Electrical Engineering: Circuit analysis, signal processing, control systems, power systems, electromagnetic field calculations.
• Chemical Engineering: Reaction kinetics, process optimization, mass and energy balances, thermodynamic calculations.
• Civil Engineering: Structural mechanics, load analysis, material optimization, hydraulics.
• Systems Engineering: Optimization problems, reliability analysis, system modeling.
• Control Theory: Controller design, stability analysis, state-space calculations.
• Materials Engineering: Property calculations, phase diagrams, material selection optimization.

How to get started

Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule.

Requirements

Education & Experience

• PhD or Master's degree in Mechanical, Automotive Engineering, or related field.
• Industry or research experience involving computational engineering.
• Experience with engineering simulations and numerical methods.

Technical Skills

• Strong engineering fundamentals in your specialization.
• Strong programming skills in Python (numpy, scipy, pandas).
• Experience with numerical simulation and optimization.
• Familiarity with engineering modeling and approximations.

Professional Skills

• Ability to design problems that mirror real engineering workflows.
• Creative thinking in problem design across engineering domains.
• Understanding of practical engineering constraints and approximations.
• Attention to detail for answer verification.
• Clear technical writing skills.
• Proficient in English (C1 and higher).

Benefits

Why this freelance opportunity might be a great fit for you?

• Get paid for your expertise, withrates that can go up to $45/hour depending on your skills, experience, and project needs.
• Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.
• Work on advanced AI projects and gain valuable experience that enhances your portfolio.
• Influence how future AI models understand and communicate in your field of expertise.