Principal Engineer / Professor Technical Expert

OpenTrain AI, Inc.; United States; Remote; USD 117,000 - 255,000; Part time

Benefits offered by this job

Remote work

Job summary

OpenTrain AI, Inc. seeks a Principal Engineer / Professor Technical Expert for a flexible remote contractor role to create and review difficult engineering and physical science problems used to evaluate AI systems.

This role pays $85 to $185 per hour and is open to experienced technical experts worldwide across listed countries. You will design problems and provide correct solutions with clear reasoning that another expert can verify, set objective criteria for consistent grading, and review

Qualifications

• Master’s or PhD in engineering, physics, materials, or a closely related field.
• Experience leading technical work at a major engineering organization, national lab, or faculty appointment.
• Ability to articulate reasoning and validate solutions clearly.

Responsibilities

• Design challenging problems in engineering or physical science disciplines.
• Provide correct solutions with clear reasoning that others can verify.
• Set objective criteria so reviewers can reach consistent correctness decisions.
• Review submitted problems for technical accuracy and sound methods.
• Flag problems that are unclear or cannot be graded reliably.

Skills

Technical leadership

Problem design

Problem solving

Clear explanations

Education

Master's or PhD in engineering, physics, materials

Job description

Principal Engineer / Professor Technical Expert

Create and review difficult engineering and physical science problems used to evaluate AI systems. This flexible remote contractor role pays $85 to $185 per hour and is open to experienced technical experts worldwide across listed countries.

Remote Hourly · $85–$185/hr

$85–$185/hr

Compensation

Contract, part-time

Engagement

Remote

Location

Oct 31, 2026

Posted

Open in 52 countries

• Argentina
• Austria
• Canada
• Chile
• Colombia
• Egypt
• France
• Germany
• Ghana
• Greece
• India
• Italy
• Japan
• Jordan
• Kyrgyzstan
• Lebanon
• Malaysia
• Mexico
• Morocco
• Netherlands
• Oman
• Pakistan
• Philippines
• Portugal
• Qatar
• South Africa
• Spain
• Sri Lanka
• Tunisia
• United Arab Emirates
• United Kingdom
• United States
• Vietnam

The work

You will create and evaluate difficult technical problems that test whether AI systems can reason through real engineering and physical science work. Problems should use realistic constraints, supporting data, and technical judgment rather than rely on a textbook answer.

You will also review other contributors’ work, check whether solutions are technically sound, and identify problems that are ambiguous or cannot be graded consistently.

• Design challenging problems in your engineering or physical science specialty.
• Provide a correct solution with clear reasoning that another expert can verify.
• Set objective criteria so reviewers can reach consistent correctness decisions.
• Review submitted problems for technical accuracy and sound methods.
• Flag problems that are unclear or cannot be graded reliably.

What it pays and takes

This is flexible, fully remote, part-time contractor work for experienced technical professionals. The role supports contributions alongside your current work.

• Pay: $85 to $185 per hour.
• Work arrangement: Fully remote, flexible, part-time contractor role.
• Location: Open to candidates in the countries listed for this role across the Americas, Europe, Asia, Africa, and the Middle East.
• Language: Professional fluency in English.
• Education: A master's or PhD in engineering, physics, materials, or a closely related field.
• Experience: Principal-, staff-, or fellow-level hands-on ownership of technical work at a major engineering organization or national lab, or a faculty appointment at a leading university.
• Expertise: Deep knowledge in at least one relevant engineering or physical science area.
• Skills: Strong technical judgment, clear explanations, and the ability to validate solutions.
• Helpful background: Publications, patents, or technical leadership showing practical ownership of complex engineering or scientific work.

About AI training work

AI training is the human work behind modern AI systems, including writing and reviewing problems, rating model answers, and checking whether outputs are correct. People with deep technical expertise help define the difficult examples and reliable standards that AI systems need to improve.

Requirements

• Experience: Entry level