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Aerospace Engineering Expert

micro1 · Remote · Posted 14h ago
This job was posted on Himalayas, an open job board. Join eGig free and you get the link to apply on Himalayas. Every job you apply to is then kept in My applications, with the pay shown up front.
Salary$85 – $185 / hr
Experience5+ years
Job typeContract
Work modeRemote
Openings1

Apply by 30 Dec 2026

About the job

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

- 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

Originally posted on Himalayas

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