Manufacturing & Industrial Engineering Expert, Remote- Contract Remote (International)

Xperteez Technology Pvt Ltd; India; A distancia; INR 250.000 - 450.000; A tiempo parcial

Descripción de la vacante

Dover is seeking a Manufacturing & Industrial Engineering Expert for a remote contract role. You will build challenging problems from your domain, define what makes an answer correct, and provide rigorous analysis.

Responsibilities include designing processes across manufacturing, production systems, quality engineering, automation, and supply chain with realistic constraints; delivering correct solutions with clear reasoning; and reviewing peers for technical soundness.

Formación

• Master’s or PhD in manufacturing, industrial, or mechanical engineering.
• Principal-level industry experience or a faculty appointment.
• Deep technical depth in at least one subdomain with hands-on ownership.
• Able to explain why an answer is correct clearly to another engineer.
• Publications, patents, or a record of technical leadership is a strong plus.
• AI or LLM evaluation experience is a plus, but not required.

Responsabilidades

• 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.

Conocimientos

Technical depth

Engineering judgment

Knowing wrong

Manufacturing engineering

Process design

Production systems

Educación

Master’s or PhD in manufacturing, industrial, or mechanical engineering

Descripción del empleo

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.