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Mechanical Engineering AI Trainer

Create difficult mechanical engineering problems and verified Python solutions to train and evaluate advanced AI models. This part-time contract pays $10 to $45 per hour and requires advanced English and Python.

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OpenTrain AI

Generative AI & RLHF

100% Remote Hourly · $10–$45/hr

$10–$45/hr

Compensation

Worldwide

Eligibility

Intermediate

Experience

Dec 12, 2025

Posted

Open worldwide

The work

You will help train and evaluate advanced AI models by writing computationally intensive mechanical engineering problems and producing verified solutions in Python. The work may involve multi-step calculations, numerical methods, and iterative simulations.

  • Create and solve mechanical engineering problems that test advanced reasoning.
  • Write and verify Python-based solutions.
  • Work across thermodynamics, fluid mechanics, heat transfer, solid mechanics, dynamics and vibrations, mechanical design, manufacturing processes, and modeling workflows.
  • Use concepts related to computer-aided engineering, finite element analysis, and computational fluid dynamics.

What it pays and takes

This is part-time contract work for someone with mechanical engineering knowledge, strong Python skills, and advanced English. The project is open worldwide.

  • Pay: $10 to $45 per hour.
  • Time: Less than 20 hours per week.
  • Work type: Part-time contractor.
  • Location: Worldwide.
  • Language: Advanced English at C1 level.
  • Education: A relevant bachelor's degree plus at least one year of relevant work experience, or a relevant master's degree or PhD.
  • Relevant fields include mechanical, aerospace, materials, mechatronics, industrial, manufacturing, and energy systems engineering, as well as applied physics, applied mathematics, and computational mechanics.
  • Required skill: Python proficiency.

How it works

Apply on OpenTrain. The employer reviews applications there.

About AI training work

AI training is the human work of creating examples and reviewing model responses so artificial intelligence systems can improve. People with strong technical expertise are paid to check complex answers, solve difficult problems, and help models produce more reliable results.

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