Mechanical Engineering Problem Author

About Open Train

Open Train AI is the hiring and contracting organization for this role. Open Train is the #1 platform for finding and building careers in AI training and data labeling, helping people discover opportunities to teach and improve modern AI systems. Creating an Open Train account is free.

• Remote contract opportunity
• Part-time schedule of 20+ hours per week
• Hourly compensation of $15 to $50 USD

AI training is the human side of building artificial intelligence. Specialists create examples, review outputs, and evaluate technical work so AI systems can produce more accurate and useful results. In this role, your engineering judgment and Python expertise will help shape models that work with computational engineering problems.

• Contribute to cutting-edge AI development
• Apply real engineering knowledge to model training
• Work flexibly from an eligible location

Open Train AI is seeking an intermediate Mechanical Engineering Problem Author to create original, realistic computational problem sets and provide fully verified solutions using Python. The problems should reflect genuine engineering workflows, including numerical methods, optimization, system design, and analysis.

You will author clearly written prompts and reproducible solutions validated with scientific Python libraries such as Num Py, Pandas, and Sci Py. The work also includes code annotation or review and requires familiarity with engineering computation workflows and automation.

• Create original mechanical engineering problem sets
• Develop fully verified, reproducible Python solutions
• Model numerical methods, optimization, system design, and analysis
• Write clear prompts and document solutions carefully
• Annotate or review code as part of the workflow

Applicants should have a Bachelor's degree or advanced degree in Mechanical Engineering and at least two years of Python programming experience. Strong attention to detail, clear documentation skills, and practical experience with computational methods in engineering are required.

You should be proficient with Num Py, Pandas, and Sci Py and have hands-on code annotation or review experience. Familiarity with engineering computation workflows and automation is also required.

• Bachelor's or advanced degree in Mechanical Engineering
• At least 2 years of Python programming experience
• Proficiency with Num Py, Pandas, and Sci Py
• Experience with computational methods in engineering
• Hands-on code annotation or review experience
• Strong attention to detail and clear documentation skills
• Intermediate experience level

This opportunity is worldwide, subject to the following restricted locations. Applicants cannot be acquired from Iran, Cuba, North Korea, Syria, Sudan, Venezuela, Myanmar, Russia, Belarus, Palestine, Switzerland, China, Taiwan, or Kenya.

Restricted U.S. states are Alaska, Arkansas, California, Connecticut, Delaware, Georgia, Hawaii, Illinois, Indiana, Kansas, Louisiana, Maine, Maryland, Massachusetts, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, Ohio, Oregon, Tennessee, Utah, Vermont, Washington, and West Virginia.

Other restricted locations are Antarctica, Aruba, Åland Islands, Saint Barthélemy, Bonaire, Sint Eustatius and Saba, Bouvet Island, Cocos (Keeling) Islands, Democratic Republic of the Congo, Cook Islands, Christmas Island, Western Sahara, Falkland Islands (Malvinas), French Guiana, Guadeloupe, South Georgia and the South Sandwich Islands, Heard Island and McDonald Islands, British Indian Ocean Territory, Northern Mariana Islands, Martinique, New Caledonia, Norfolk Island, Niue, French Polynesia, Saint Pierre and Miquelon, Pitcairn, Réunion, Saint Helena, Ascension and Tristan da Cunha, Svalbard and Jan Mayen, Sint Maarten (Dutch part), French Southern Territories, Tokelau, United States Minor Outlying Islands, Holy See, Virgin Islands (British), Wallis and Futuna, and Mayotte.

• Worldwide eligibility with listed location restrictions
• Confirm that your location is eligible before applying