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.
