Aerospace Engineering Expert

Aerospace Engineering Expert

Bayt AI Training Jobs, by AI Training Partner

16 minutes ago 2026/12/30

·Application closes in 59 days

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United States

Remote

5 Open Positions

Contractor

500 Employees or more · Scientific Research & Development

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Job description

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

Skills

• Technical Depth in a Subdomain, Engineering Judgment Under Constraints, Knowing When an Answer Is Wrong, Aerodynamics, Propulsion, Structures

• This job post has been translated by AI and may contain minor differences or errors.

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