Materials & Engineering Specialist - review AI outputs in your specialty

About the role

We build materials-science and engineering tasks that test how well an AI model does real expert work. You write a realistic task - a prompt, a data room, and a way to grade it - run it against the model, and tighten it until the model can no longer reason through it cleanly.

What you'll do

• Author domain-authentic tasks drawn from work you've actually done.
• Build the data room and grading criteria that make the task objectively scorable.
• Run the task against the model, analyse where it succeeds or fails, and iterate until it genuinely discriminates.
• Work with the project lead and other domain experts to settle what "good" looks like in your domain.

Who we're looking for

• Senior expertise in materials science - metals, ceramics, composites, characterization, additive manufacturing - or in electrical engineering (analog, RF, power) or mechanical engineering (design, CFD and fluids, heat transfer, pressure vessels, NDE, CAE).
• Comfortable navigating ambiguity - much of the work is still being defined, and shaping it is part of the role.
• Able to explain not just the right answer, but why a wrong answer is wrong.

Support

Daily onboarding sessions and multiple office hours every day.