Principal Engineer / Professor — Technical Expert

Pay: $85 - $185/hour

Required Skills
Technical Depth in a Subdomain
Engineering Judgment Under Constraints
Knowing When an Answer Is Wrong
advanced engineering and materials
About micro1
micro1 is a data lab that helps AI labs & Enterprises train foundational models and agents. We provide frontier evaluations and reinforcement learning environments to improve LLM capabilities, as well as contextual evaluations to monitor and improve AI agents in enterprise settings.

Our AI recruiting agent sources and vets domain experts for our data platform that enables rapid production of high-quality training data. Our research spans high-value, specialized domains (legal, medical, finance, coding, etc.), where expert-level data is the hardest to produce and most valuable for advanced model performance. Our pipeline performance system ensures both quality and velocity.

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
Email

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