Mechanical Engineering Problem Author (Python)
The middle of its range, $32.50/hr, is below the $75/hr median of the Law, Medicine & Finance roles open now, whose typical pay runs $40–$150/hr. How that pay moves week by week is in our research on Law, Medicine & Finance work.
Half of all Law, Medicine & Finance roles come down within 29.5 days of being listed, and 51.5% are still up after four weeks. This one was posted 214 days ago.
About the role
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.
Where you can work
This role is 100% remote: you can work from any country except Andorra, Afghanistan, Barbados, Burkina Faso, Burundi, Brazil, Belarus, Belize, DR Congo, Central African Republic, Congo (Republic), Cameroon, China, Cuba, Cape Verde, Djibouti, Dominica, Eritrea, Fiji, Micronesia, Grenada, Georgia, Guinea, Equatorial Guinea, Guinea-Bissau, Honduras, Haiti, Iraq, Iran, Kyrgyzstan, Kiribati, Comoros, St. Kitts and Nevis, North Korea, Lebanon, Liberia, Lesotho, Libya, Montenegro, Marshall Islands, Mali, Myanmar, Mauritania, Maldives, Malawi, Nicaragua, Nepal, Nauru, Papua New Guinea, Palestine, Palau, Russia, Solomon Islands, Seychelles, Sudan, Sierra Leone, Somalia, Suriname, South Sudan, São Tomé and Príncipe, Syria, Eswatini, Chad, Togo, Tajikistan, Timor-Leste, Turkmenistan, Tonga, Tuvalu, Ukraine, Uganda, Vatican City, St. Vincent and Grenadines, Venezuela, Vanuatu, Samoa, Yemen, Zambia and Zimbabwe.
From OpenTrain AI's job posting, checked 29 Oct 2026.
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