Mechanical Engineer with Python Experience - Freelance AI Trainer

Mindrift; Remote; EUR 40.000 - 60.000; Teilzeit

Zusammenfassung

A leading AI innovation firm is seeking experienced Mechanical Engineers skilled in Python to evaluate AI models in real-world engineering contexts. The role emphasizes engineering judgment over routine software tasks, offering a flexible freelance arrangement. Candidates must possess a relevant degree and significant experience in fields such as thermodynamics and fluid mechanics. With a pay rate of up to $50/hour, this position presents a unique opportunity to impact the development of future AI systems.

Leistungen

Earn up to $50/hour for expertise

Fully remote, flexible, part-time freelance work

Contribute to AI engineering reasoning

Work on technically rigorous problems

Qualifikationen

• 3+ years professional or advanced academic experience in mechanical engineering.

Aufgaben

• Design graduate- and industry-level mechanical engineering problems.
• Evaluate AI-generated solutions for correctness and engineering logic.
• Validate analytical or numerical results using Python (NumPy, SciPy, Pandas).
• Improve AI reasoning in alignment with accepted engineering standards.

Kenntnisse

Strong Python proficiency for numerical validation

Ability to design non-trivial, computationally intensive problems

Thermodynamics

Heat Transfer

Fluid Mechanics

Solid Mechanics

Dynamics & Vibration

Mechanical Design

FEA

CFD

Computational Mechanics

Manufacturing Processes

CAD/CAE

Thermal Systems

Advanced English proficiency (C1+)

Ausbildung

Bachelor's, Master's, or PhD in Mechanical Engineering or closely related field

Jobbeschreibung

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+)
• Ability to design non-trivial, computationally intensive problems

Benefits

Why Join

• Earn up to $50/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