Role Title: Materials Science Expert Role Type: Contract Location: Remote Required Skills: • Technical Depth in a Subdomain • Engineering Judgment Under Constraints • Knowing When an Answer Is Wrong • Material-science Opportunity Snapshot: Commitment: Flexible - fits alongside your current role Location: Fully remote You’ll need: Master’s or PhD in materials science or a closely related field, plus principal-level industry experience or a faculty appointment Your tasks: Build challenging technical problems from your own domain and define what makes an answer correct You'll be working on: The problems where the textbook answer isn’t enough, where the right approach depends on reading the constraints correctly, where a plausible-looking solution is quietly wrong. You’ll build those problems, provide the correct analysis, and define what separates a right answer from one that only looks What you’ll do: • Design difficult technical problems from your own area - structure-property relationships, processing, characterization, failure analysis, computational materials - with realistic constraints and supporting data. • Provide the correct solution and walk through the reasoning that gets there. • Define objective criteria for correctness, so another expert reviewing the work would reach the same verdict. • Review problems built by other contributors for technical accuracy and soundness of method. • Flag problems that turn out to be ambiguous or ungradable rather than submitting them. What we’re looking for: • Master’s or PhD in materials science, metallurgy, ceramics, polymer science, condensed matter physics, or a closely related field. • Principal, staff, or fellow-level experience in industrial or national lab research, or a faculty appointment at a leading university. • Deep technical depth in at least one materials subdomain, with hands-on ownership of the work. • Able to explain why an answer is correct clearly enough that another scientist could verify it. • Publications, patents, or a record of technical leadership is a strong plus. • AI or LLM evaluation experience is a plus, but not required. Originally posted on Himalayas