Materials & Engineering Specialist

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.

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

Contract and Payment Terms

• You will be engaged as an independent contractor.
• This is a fully remote role that can be completed on your own schedule.
• Projects can be extended, shortened, or concluded early depending on needs and performance.
• Your work at Mercor will not involve access to confidential or proprietary information from any employer, client, or institution.
• Payments are weekly on Stripe or Wise based on services rendered.
• Please note: We are unable to support H1-B or STEM OPT candidates at this time.

About Mercor

Mercor partners with leading AI labs and enterprises to train frontier models using human expertise. You will work on projects that focus on training and enhancing AI systems. You will be paid competitively, collaborate with leading researchers, and help shape the next generation of AI systems in your area of expertise.