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Principal Engineer / Professor — Technical Expert

Micro1 · Remote, US + Canada

80 - 185 / Hour · Posted Nov 3, 2026

About the job

Role Title: Principal Engineer / Professor — Technical Expert Role Type: Contractor Location: Remote Opportunity Snapshot Pay:$80- $185/hour Commitment: Flexible — fits alongside your current role Location: Fully remote You’ll need: Master’s or PhD in an engineering or physical science 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 micro1 is engaging principal-level engineers, scientists, and faculty to design the technical problems that measure what AI systems can actually do. Your domain expertise is what matters here — no prior AI experience required. We’re building this across four areas: aerospace, semiconductors, manufacturing and industrial engineering, and materials science. If your work sits in one of those — or across two of them — this is for you. The work draws on what you already know: 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. What you’ll do - Design difficult technical problems from your own area, 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 engineering, physics, materials, or a closely related field. - Principal, staff, or fellow-level experience at a major engineering organization, a national lab, or a faculty appointment at a leading university. - Deep technical depth in at least one area, with hands-on ownership of the work. - Able to explain why an answer is correct clearly enough that another expert could verify it. - Publications, patents, or a record of technical leadership is a strong plus. How the selection process works - Apply and complete the screening questions - Complete the AI interview for this role - Profile review - Onboarding — our Talent Ops team will get you set up Originally posted on Himalayas

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