The work
Create mechanical engineering questions and case studies, then evaluate AI responses for accuracy, sound reasoning, and alignment with engineering standards and best practices.
- Develop challenges covering thermodynamics, fluid mechanics, machine design, materials selection, stress analysis, heat transfer, and dynamics.
- Create content related to CAD/CAM, HVAC systems, and other mechanical engineering topics.
- Give detailed feedback to improve the quality, difficulty, and educational value of engineering content.
- Work with engineering and technical experts to maintain rigorous content quality.
What it pays and takes
- Pay: $95 per hour.
- Hours: 20 or more hours per week.
- Work arrangement: Remote, flexible, asynchronous contract work.
- Location: Open to candidates in the eligible countries listed for this role.
- Language: Fluent English.
- Education: A bachelor's degree in mechanical engineering or a related engineering discipline from an accredited program.
- Experience: Practical experience in mechanical engineering practice, design, or analysis, with a strong grasp of engineering principles and methods.
- Skills: Strong analytical, written, and verbal communication skills, plus careful attention to detail.
Helpful background
Experience in aerospace, automotive, energy, HVAC, manufacturing, or other engineering applications is useful. Publications, standards development, engineering technology initiatives, a Professional Engineer license, an advanced degree, relevant certifications, or familiarity with AI-driven mechanical engineering applications can also support your work.
How it works
Apply on OpenTrain with your resume, then complete the application on the hiring site.
About AI training work
AI training is the human work of creating examples and reviewing model answers so AI systems can learn. Mechanical engineering experts help make those examples technically sound and grounded in engineering practice.