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Aerospace Engineering Expert

micro1

RemoteRemoteUSD 177k–385kseniorContractor
Posted
today
Source
Himalayas

Skills

OnboardingLeadershipLLMsAI

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 Originally posted on Himalayas

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