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Manufacturing & Industrial

Manufacturing & Industrial Engineering Expert

micro1 · Canada, United States · Remote

$80 – $185/hr

Posted Nov 4, 2026

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Job Description

Role Title: Manufacturing & Industrial Engineering Expert

Role Type: Contractor

Location: Remote

Opportunity Snapshot

Pay:**$80- $185/hour

**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.

**How the selection process works**

  • Apply and complete the screening questions
  • Complete the AI interview for this role — it’s how your expertise gets in front of the client
  • Profile review
  • Onboarding — our Talent Ops team will get you set up

Originally posted on Himalayas

Originally posted on the employer's career page — view the original listing ↗