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🌍 Manufacturing & Industrial Engineering Expert, Remote- Contract

Xperteez Technology

RemoteUnited StatesUSD 177k–385kseniorContractor
Posted
today
Source
Himalayas
Field
Operations

Skills

LeadershipLLMsAI

Description

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 You’ll need: Master’s 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 isn’t enough, where the right approach depends on reading the constraints correctly, where a plausible-looking solution is quietly wrong. You’ll build those problems, provide the correct analysis, and define what separates a right answer from one that only looks right. What you’ll 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 we’re looking for: - Master’s 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. Originally posted on Himalayas

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