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Aerospace Engineering Expert
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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
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