Manufacturing and Industrial Engineering Expert

OpenTrain AI, Inc.; United Arab Emirates; Remote; AED 430,000 - 936,000; Part time

Job summary

OpenTrain AI, Inc. is seeking a Manufacturing and Industrial Engineering Expert to create and review challenging problems for AI evaluation.

This fully remote contractor role pays $85 to $185 per hour and welcomes candidates from many countries with strong engineering background. Candidates should hold a master's degree or PhD in manufacturing, industrial, or mechanical engineering, with senior experience at major manufacturing organizations or university faculties.

Qualifications

• Master's degree or PhD in manufacturing, industrial, mechanical engineering, or a closely related field.
• Experience at a major manufacturing organization at principal, staff, or fellow level, or a faculty appointment at a leading university.
• Strong technical communication and sound judgment when interpreting constraints.
• Deep expertise in at least one relevant subdomain with hands-on ownership of engineering work.
• Publications, patents, or leadership in AI or LLM evaluation is helpful.

Responsibilities

• Design challenging problems in manufacturing process design, production systems, quality engineering, automation, supply chain, or operations modeling.
• Provide correct solutions and explain reasoning clearly for verification by another engineer.
• Define objective criteria to distinguish sound solutions from plausible but incorrect ones.
• Review problems created by other contributors for technical accuracy and sound methods.
• Identify problems that are ambiguous or cannot be graded reliably.

Skills

English fluency

Technical communication

Engineering judgment

Problem design

Education

Master's degree or PhD in manufacturing/industrial/mechanical engineering

Job description

Manufacturing and Industrial Engineering Expert

Create and review difficult manufacturing and industrial engineering problems for AI evaluation, with pay of $85 to $185 per hour. This flexible remote contractor role is open across many countries.

Remote Hourly · $85–$185/hr

$85–$185/hr

Compensation

Contract, part-time

Engagement

Remote

Location

Oct 31, 2026

Posted

Open in 52 countries

United States + more

• Algeria
• Argentina
• Austria
• Bahrain
• Bangladesh
• Belgium
• Brazil
• Canada
• Chile
• Colombia
• Denmark
• Egypt
• France
• Germany
• Ghana
• Greece
• India
• Indonesia
• Italy
• Japan
• Jordan
• Kazakhstan
• Kenya
• Kuwait
• Kyrgyzstan
• Lebanon
• Malaysia
• Mexico
• Morocco
• Netherlands
• Nigeria
• Oman
• Pakistan
• Palestine
• Peru
• Philippines
• Portugal
• Qatar
• Saudi Arabia
• Singapore
• South Africa
• Spain
• Sri Lanka
• Switzerland
• Taiwan
• Thailand
• Tunisia
• United Arab Emirates
• United Kingdom
• United States
• Uzbekistan
• Vietnam

The work

You will create and assess difficult technical problems used to evaluate AI systems. The work turns real manufacturing and industrial engineering judgment into structured problems with realistic constraints, supporting data, correct analyses, and clear review standards.

• Design challenging problems in manufacturing process design, production systems, quality engineering, automation, supply chain, or operations modeling.
• Provide correct solutions and explain your reasoning clearly enough for another engineer to verify.
• Define objective criteria that help reviewers distinguish sound solutions from plausible but incorrect ones.
• Review problems created by other contributors for technical accuracy and sound methods.
• Identify problems that are ambiguous or cannot be graded reliably.

What it pays and takes

This is flexible, fully remote contractor work that can fit alongside your current role. The structured experience level is entry level, and the role is part time.

• Pay: $85 to $185 per hour.
• Work arrangement: Fully remote, part time, and flexible.
• Contract type: Contractor.
• Location: Open to candidates in the listed countries across the Americas, Europe, Asia, Africa, and the Middle East.
• Language: Professional fluency in English.
• Education: A master's degree or PhD in manufacturing, industrial, mechanical engineering, or a closely related field.
• Experience: Principal, staff, or fellow-level experience at a major manufacturing organization, or a faculty appointment at a leading university.
• Technical background: Deep expertise in at least one relevant subdomain and hands-on ownership of engineering work.
• Communication: Strong technical communication and sound judgment when interpreting constraints.
• Helpful background: Publications, patents, technical leadership, or experience with AI or LLM evaluation.

About AI training work

AI training and data-labeling work is the human side of building artificial intelligence. Experts create and review examples, problems, and model responses so AI systems can produce more accurate and useful results.

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