Data annotation job

Aerospace Engineering Expert

Micro1 · Posted Today

$85 to $185/hrRemote (Fully remote)Contract
  • STEM
  • AI evaluation
  • LLM training

About this role

Opportunity Snapshot

Pay

$80- $185/hour

Commitment: Flexible, fits alongside your current role

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

This listing is aggregated by DataAnnotationJobs.org. Applications are processed by Micro1, not by this site.

Micro1 is a fast-scaling AI training data platform that pivoted from its AI recruiting agent, Zara, into expert data labeling and RLHF, vetting doctors, lawyers, and engineers for frontier AI labs. See all Micro1 jobs.

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