micro1
micro1

Aerospace Engineering Expert

datacontractRemote
SALARY
$85–185/hr
WORK TYPE
remote
JOB TYPE
contract
INDUSTRY
ai
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About the role

Pay: $85 - $185/hour

Role Title: Aerospace Engineering Expert

Role Type: Contractor

Opportunity Snapshot

Pay:$80- $185/hour

Commitment: Flexible — fits alongside your current role

Fully remote

You’ll need: Master’s or PhD in aerospace 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 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. You’ll build those problems, provide the correct analysis, and define what separates a right answer from one that only looks right.

What you’ll do

  • Design difficult technical problems from your own area — aerodynamics, propulsion, structures, GNC, orbital mechanics, systems engineering — 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 aerospace engineering, mechanical engineering, or a closely related field.
  • Principal, staff, or fellow-level experience at a major aerospace organization, or a faculty appointment at a leading university.
  • Deep technical depth in at least one aerospace subdomain, with hands-on ownership of the work.
  • Able to explain why an answer is correct clearly enough that another engineer 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.

How the selection process works

  • Apply and complete the screening questions
  • Complete the AI interview for this role — it’s how your expertise gets in front of the client
  • Profile review
  • Onboarding — our Talent Ops team will get you set up
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