Principal Engineer / Professor — Technical Expert
micro1 · Remote – worldwide
- Salary
- US$85 – US$185
- Posted
- 4h ago
- Source
- Himalayas
Job description
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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