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Mechanical Engineering Problem Author

Create realistic mechanical engineering problem sets and fully verified Python solutions for AI training. This part-time contract role pays $15 to $50 per hour and requires at least 20 hours per week.

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OpenTrain AI

Coding & Software

100% Remote Hourly · $15–$50/hr

$15–$50/hr

Compensation

Worldwide

Eligibility

Intermediate

Experience

Mar 29, 2026

Posted

Open worldwide

The work

You will create original computational problem sets based on real mechanical engineering workflows. Each problem should be clearly written, realistic, and suitable for evaluating technical reasoning.

You will also produce complete, reproducible solutions and verify them in Python. Your work may cover numerical methods, optimization, system design, and engineering analysis using tools such as NumPy, Pandas, and SciPy.

  • Write original mechanical engineering problems with clear prompts and realistic computational requirements.
  • Develop complete solutions that can be reproduced and checked in Python.
  • Use Python scientific libraries, including NumPy, Pandas, and SciPy, to validate your results.
  • Create and evaluate technical content for AI training.

What it pays and takes

This is a part-time contractor role for an intermediate-level mechanical engineering expert. The work is open worldwide, and no specific language or country requirement is listed.

  • Pay: $15 to $50 per hour.
  • Time: 20 or more hours per week.
  • Work arrangement: Part-time contract.
  • Location: Worldwide.
  • Experience: Intermediate level.
  • Required background: Mechanical engineering expertise and the ability to use Python for engineering computation workflows and automation.

How it works

Apply on OpenTrain. The employer reviews applications there.

About AI training work

OpenTrain AI hires and contracts people who help build better artificial intelligence. AI training work uses human-created examples, written answers, ratings, code, and other data to teach and evaluate AI systems, so engineering expertise is useful when models need to solve technical problems accurately.

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