What you would do

Write problems on loads, materials, thermal systems and structures, such as sizing a beam to a stated deflection limit, with reference answers.
Find the unsafe or wrong assumption in a model’s engineering answer, such as a missing load case or the wrong safety factor.
Write operations and scheduling problems, such as a critical-path schedule or a production-line bottleneck, with checkable answers.
Judge whether a model’s design could actually be built, shipped and maintained.
Write rubrics that check units, codes and standards, safety factors and constraints.

What we look for

You study at or graduated from a college or university in mechanical, civil, industrial or a related engineering field.
A design, analysis or build project you did yourself and can explain in depth, numbers included.
Solid fundamentals in your area, such as statics and strength of materials, thermodynamics and fluids, or operations research.
Care with safety margins, standards and real-world constraints.

A degree in the field; a master’s or PhD, or a PE license, is even better.
Professional engineering or operations work, especially at an AI lab or AI company.
Working knowledge of the codes and standards in your area, such as building codes or ASME standards.
Built projects, publications or patents.

Task size: Tasks take about 30 minutes to 5 hours. Each one shows its estimated time and price before you start, and you are paid that price even if it takes you more or less time.
Pay: Per task accepted in review: its estimated time times the project’s rate. A task estimated at 2 hours at $120 an hour pays $240. Accepted tasks are paid within 30 days.
Hours: Projects last 1 month to a year. Each sets a weekly minimum, usually about 20 hours of estimated work, and you choose when you work.
Tools and review: Your own computer, plus CAD, FEA, a spreadsheet or Python for calculations when a task calls for them. Every task is reviewed against the project’s written quality standard before it is accepted.