Principal Engineer / Professor Technical Expert

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.

How it works

You apply here in about two minutes and finish on the hiring platform. The next step is a short AI interview (technical roles include a coding challenge). Passing it is how you qualify for paid tasks, so take it soon after you are invited.

The hiring platform's application for this job asks for your resume, your LinkedIn profile, your phone number, your location and answers to 7 screening questions.

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.