Expert: Mechanical Engineering (Contract, Remote)

Patronus AI is hiring a mechanical engineering expert to help its research team understand professional workflows and create realistic tasks for evaluating and training AI models. The role involves producing task documents and reference solutions, defining grading criteria, and reviewing tasks for technical accuracy and realism.

Responsibilities:

• Build realistic evidence files from a provided scenario, such as drawings and CAD models, bills of materials, hand calculations and simulation reports, load calculations and equipment schedules, process sheets and tooling drawings, and test reports
• Write task requests that state the deliverable and say how uncertainty and justified assumptions should be handled
• Solve each task end to end and document a reference solution with the reasoning behind every step
• Write scoring criteria precise enough that two independent graders reach the same verdict, including acceptable alternative answers and tolerances on numerical results
• Check your own and your peers' tasks for technical accuracy and ambiguity
• Work in reviewer feedback within agreed turnaround times, and flag guideline gaps or edge cases you run into
• Explain to our research team how work in your area is actually done: the steps, the documents, who does what, and where things go wrong
• Review the scenarios and documents our team builds from that research, and flag anything a practitioner would find unrealistic

Requirements:

• 3+ years of hands-on experience in at least one of the areas above, as a mechanical design or stress engineer, a thermal, fluids or HVAC engineer, or a manufacturing or tooling engineer. You did the work yourself; supervising it is not enough
• Working command of the standards, methods and codes in your area. Examples: ASME Y14.5 and GD&T, hand-calculation and finite element methods, ASHRAE and ASME codes, heat transfer and fluid sizing methods, or design for manufacturing and process capability
• Strong calculation and spreadsheet skills and the habit of checking every unit, assumption and load case
• Clear, precise writing in professional English
• Ability to work independently and asynchronously against deadlines
• Each area is defined by what governs the work, so you should fit exactly one. If you work across two, apply under the one where you spend most of your time
• Prior experience writing or reviewing AI evaluation tasks, exam questions, case studies or training material
• Familiarity with how AI models fail