The work
You will create original computational problem sets for mechanical engineering and write clear prompts that reflect real engineering workflows. You will also produce reproducible solutions and verify them in Python.
Your work may cover numerical methods, optimization, system design, analysis, and engineering computation workflows and automation.
- Author realistic mechanical engineering problems.
- Write fully verified and reproducible Python solutions.
- Use scientific libraries such as NumPy, Pandas, and SciPy.
- Evaluate and review generated problem-solving content.
What it pays and takes
- Pay: $15 to $50 per hour, with a listed rate of $50 per hour.
- Time: 20 or more hours per week.
- Work arrangement: Part-time contractor.
- Location: Open worldwide.
- Experience: Intermediate level.
- You must have mechanical engineering expertise and strong Python skills.
- You should be able to use NumPy, Pandas, and SciPy for engineering computation and analysis.
How it works
Apply on OpenTrain. The employer reviews applications there.
About AI training work
AI training work is the human work behind systems that learn from examples. People write, review, and evaluate content so AI models can produce more useful results, and experienced contributors help improve performance in specialist fields such as engineering.