Aerospace Engineering Expert

About the Role

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. 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

Responsibilities & Tasks

• 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.

Qualifications & Requirements

• 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.

Eligibility