The work
You will help improve AI systems by creating realistic mechanical engineering problems and reviewing their answers. Your feedback will focus on whether technical work is accurate, practical, manufacturable, clear, and consistent with engineering practice.
- Create engineering scenarios based on work that has been manufactured, tested, or approved.
- Review AI-generated responses, models, drawings, tolerances, calculations, and FEA results.
- Assess technical accuracy, practical feasibility, manufacturability, standards alignment, and defensibility.
- Decide whether technical work is clear enough for another reviewer to dimension against.
- Write structured feedback that helps improve AI model performance.
What it pays and takes
This is remote, part-time contract work with no set schedule or minimum-hour requirement.
- Pay: Up to $72 per hour.
- Location: Open to applicants based in Canada.
- Language: Fluent English.
- Education: A BS, MS, or PhD in Mechanical Engineering or a closely related engineering discipline.
- Experience: Hands-on mechanical engineering experience, or experience as a student producing a part, assembly, or analysis used by others.
- Technical depth in parametric solid modeling, GD&T drawing interpretation, standards-based mechanical calculations, or FEA validated against hand calculations.
- Strong written communication, attention to detail, and the ability to explain complex engineering concepts clearly.
- Able to work independently in a remote, asynchronous environment.
- Current bachelor's students must have relevant internship experience.
Helpful experience
Experience with common mechanical design, simulation, and analysis tools is useful. Additional value comes from creating manufacturing-ready work or working in product design, manufacturing, aerospace, defense, or automotive settings.
- Tools such as SolidWorks, Creo, NX, CATIA, Inventor, Fusion 360, ANSYS, Abaqus, Nastran, or MATLAB.
- Manufacturing-ready drawings or models for machining, sheet metal, casting, injection molding, or additive manufacturing.
- Experience with a manufacturer, product design firm, aerospace or defense contractor, or automotive supplier.
How it works
Apply on OpenTrain with your resume, then complete the application on the hiring site.
About AI training work
AI training work is the human side of building artificial intelligence. People create examples and review model responses so AI systems can produce more accurate and useful results, and specialists are paid for the subject knowledge needed to judge that work.