Role Title: Manufacturing & Industrial Engineering Expert
Role Type: Contract
Location: Remote
Required Skills:
Technical Depth in a Subdomain
Engineering Judgment Under Constraints
Knowing When an Answer Is Wrong
Manufacturing and industrial engineering
Process Design
Production Systems
Opportunity Snapshot:
Commitment: Flexible - fits alongside your current role
Location: Fully remote
Youâll need: Masterâs or PhD in manufacturing, industrial, or mechanical engineering, plus principal-level industry experience or a faculty appointment
Your tasks: Build challenging technical problems from your own domain and define what makes an answer correct
You'll be working on:
The problems where the textbook answer isnât enough, where the right approach depends on reading the constraints correctly, where a plausible-looking solution is quietly wrong. Youâll build those problems, provide the correct analysis, and define what separates a right answer from one that only looks right.
What youâll do:
Design difficult technical problems from your own area - process design, production systems, quality engineering, automation, supply chain and operations modeling - with realistic constraints and supporting data.
Provide the correct solution and walk through the reasoning that gets there.
Define objective criteria for correctness, so another expert reviewing the work would reach the same verdict.
Review problems built by other contributors for technical accuracy and soundness of method.
Flag problems that turn out to be ambiguous or ungradable rather than submitting them.
What weâre looking for:
Masterâs or PhD in manufacturing, industrial, mechanical engineering, or a closely related field.
Principal, staff, or fellow-level experience at a major manufacturing organization, or a faculty appointment at a leading university.
Deep technical depth in at least one subdomain, with hands-on ownership of the work.
Able to explain why an answer is correct clearly enough that another engineer could verify it.
Publications, patents, or a record of technical leadership is a strong plus.
AI or LLM evaluation experience is a plus, but not required.
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