Aerospace Engineering Expert

micro1; United States; Remote; USD 117,000 - 255,000; Full time

Benefits offered by this job

Flexible commitment

Fully remote

Job summary

micro1 is a data lab that helps AI labs and Enterprises train foundational models and agents. We provide frontier evaluations and reinforcement learning environments to improve LLM capabilities, as well as contextual evaluations to monitor and improve AI agents in enterprise settings.

As an Aerospace Engineering Expert contractor, you will design difficult technical problems in aerodynamics, propulsion, structures, and related fields, provide correct solutions with reasoning, and define

Qualifications

• Master's or PhD in aerospace engineering or closely related field.
• Experience at principal, staff, or fellow level in a major aerospace org or university faculty.
• Deep technical depth in at least one aerospace subdomain with hands-on ownership.

Responsibilities

• Design difficult technical problems from your domain with realistic constraints and data.
• Provide correct solutions and walk through the reasoning that leads to them.
• Define objective criteria for correctness so another engineer can verify.
• Review problems created by others for technical accuracy and soundness.

Skills

Technical depth

Engineering judgment

Knowing when an answer is wrong

Aerodynamics

Propulsion

Structures

Education

Master's or PhD in aerospace engineering or related field

Job description

Pay: $85 - $185/hour

Required Skills

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

About micro1

micro1 is a data lab that helps AI labs & Enterprises train foundational models and agents. We provide frontier evaluations and reinforcement learning environments to improve LLM capabilities, as well as contextual evaluations to monitor and improve AI agents in enterprise settings.

Our AI recruiting agent sources and vets domain experts for our data platform that enables rapid production of high-quality training data. Our research spans high-value, specialized domains (legal, medical, finance, coding, etc.), where expert-level data is the hardest to produce and most valuable for advanced model performance. Our pipeline performance system ensures both quality and velocity.

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.

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