Mechanical Engineer with Python Experience - Freelance AI Trainer

Mindrift; A distancia; EUR 50.000 - 70.000; A tiempo parcial

Descripción de la vacante

An innovative AI company is seeking experienced Mechanical Engineers to evaluate AI models on complex mechanical engineering problems. The position requires proficiency in Python and a strong background in topics like Thermodynamics and Fluid Mechanics. You will be involved in designing rigorous engineering tasks and validating AI-generated solutions. This fully remote role offers flexible hours and competitive pay, emphasizing innovative contributions to the field of Generative AI.

Servicios

Earn up to $33 / hour

Fully remote, flexible work

Engage in innovative AI projects

Formación

• 3+ years professional or advanced academic experience in mechanical engineering.
• Strong Python proficiency for numerical validation.
• Ability to design non-trivial, computationally intensive problems.

Responsabilidades

• Design graduate- and industry-level mechanical engineering problems.
• Evaluate AI-generated solutions for correctness and assumptions.
• Validate analytical results using Python.

Conocimientos

Proficient in Python

Thermodynamics knowledge

Fluid Mechanics expertise

Mechanical Design skills

Educación

Bachelor's, Master's, or PhD in Mechanical Engineering

Descripción del empleo

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English.

At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.

What we do

The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real‑world expertise from across the globe.

The Role

We are seeking experienced Mechanical Engineers with strong Python skills to train and evaluate AI models on complex, real‑world mechanical engineering problems. This role focuses on professional judgment and engineering rigor, not data labeling or traditional software development.

What You’ll Do

• Design graduate‑ and industry‑level mechanical engineering problems grounded in real practice.
• Evaluate AI‑generated solutions for correctness, assumptions, and engineering logic.
• Validate analytical or numerical results using Python (NumPy, SciPy, Pandas).
• Improve AI reasoning to align with first principles and accepted engineering standards.
• Apply structured scoring criteria to assess multi‑step problem solving.

How to Apply

Apply with your resume (English). Complete a short qualification process and get matched to projects aligned with your specialization.

Effort estimate

Tasks for this project are estimated to take 6–10 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.

Requirements

• Bachelor’s, Master’s, or PhD in Mechanical Engineering or closely related field
• Strong Python proficiency for numerical validation
• 3+ years professional or advanced academic experience in one or more of:
• Thermodynamics, Heat Transfer, Fluid Mechanics
• Solid Mechanics, Dynamics & Vibration
• Mechanical Design, Machine Elements
• FEA, CFD, Computational Mechanics
• Manufacturing Processes, CAD / CAE, Thermal Systems
• Advanced English proficiency (C1+)
• Strong Python proficiency for numerical validation
• Ability to design non‑trivial, computationally intensive problems

Benefits

Why Join

• Earn up to $33 / hour for your expertise
• Fully remote, flexible, part‑time freelance work
• Contribute to how future AI systems reason about mechanical engineering
• Work on technically rigorous, non‑routine problems