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Mechanical Engineer with Python Experience - Freelance AI Trainer

Mindrift

Remote

EUR 40.000 - 60.000

Teilzeit

Heute
Sei unter den ersten Bewerbenden

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Zusammenfassung

A leading technology firm is seeking experienced Mechanical Engineers with strong Python skills to work on AI projects. Responsibilities include designing and validating complex engineering problems, evaluating AI solutions, and ensuring engineering standards. The position offers flexible remote work with competitive pay up to $50/hour. Ideal candidates will have a degree in Mechanical Engineering and significant experience in analyzing mechanical systems. This is an opportunity to contribute to innovative AI technologies.

Leistungen

Flexibility in work hours
Competitive pay
Opportunity to work on unique AI projects

Qualifikationen

  • 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 various engineering fields.

Aufgaben

  • Design real-world mechanical engineering problems for AI validation.
  • Evaluate AI-generated solutions for correctness and logic.
  • Validate results using Python libraries.

Kenntnisse

Strong Python proficiency
3+ years of experience in Mechanical Engineering
Analytical problem-solving
Advanced English proficiency (C1+)

Ausbildung

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

Tools

NumPy
SciPy
Pandas
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

You may be asked to :

  • 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 $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
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