Job Description

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.

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