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micro1

micro1

Aerospace Engineering Expert

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Fully RemoteEngineeringCanada, United States

Salary

Not listed

Posted

8h ago

Work setup

Fully Remote

Aerospace EngineerAerospace Engineering ConsultantAerospace EngineeringAeronautical EngineerAerospace Subject Matter Expert

Role Title: Aerospace Engineering 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 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

  1. Design difficult technical problems from your own area — aerodynamics, propulsion, structures, GNC, orbital mechanics, systems engineering — with realistic constraints and supporting data.
  2. Provide the correct solution and walk through the reasoning that gets there.
  3. Define objective criteria for correctness, so another expert reviewing the work would reach the same verdict.
  4. Review problems built by other contributors for technical accuracy and soundness of method.
  5. Flag problems that turn out to be ambiguous or ungradable rather than submitting them.

What we’re looking for

  1. Master’s or PhD in aerospace engineering, mechanical engineering, or a closely related field.
  2. Principal, staff, or fellow-level experience at a major aerospace organization, or a faculty appointment at a leading university.
  3. Deep technical depth in at least one aerospace subdomain, with hands-on ownership of the work.
  4. Able to explain why an answer is correct clearly enough that another engineer could verify it.
  5. Publications, patents, or a record of technical leadership is a strong plus.
  6. AI or LLM evaluation experience is a plus, but not required.

How the selection process works

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

Before you apply

  • Confirm async-friendly culture vs daily standup-heavy expectations
  • Ask about on-call rotation and incident expectations
  • Check the tech stack matches what you actually want to use day-to-day

Interested in this role?

Apply on the original posting. No account required.

Listing via Himalayas

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