Micro1
Micro1Verified listing
RemoteHot

Aerodynamics Expert for AI in Aerospace Engineering

60–130/hr
Remote
Posted October 11, 2026
contract
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Listing checked September 4, 2026 · pay as published by Micro1

Overview

A remote contractor role for an Aerodynamics Expert working with micro1 on a client project that advances AI in aerospace engineering. You’ll apply your domain knowledge to help train next generation AI systems, shaping how models learn and reason about aerodynamic challenges. The work covers external aerodynamics, CFD, wind tunnel testing, propulsion, and vehicle aero, with emphasis on precise technical input and clear written and verbal communication. Prior AI experience isn’t required; your engineering expertise is what matters. In this role you’ll contribute to real-world problems and collaborate with a distributed team of experts to improve AI reasoning in aerodynamics, documentation, and feedback.

What You'll Do7

  • 1Tackle advanced aerodynamic design and analysis tasks across external aero, CFD, wind tunnel data, propulsion, and vehicle aerodynamics.
  • 2Review AI generated technical outputs for accuracy and quality, providing concrete feedback.
  • 3Apply practical engineering judgment to solve real world aerodynamic problems and interpret theoretical questions.
  • 4Diagnose aerodynamic issues using boundary-layer theory, potential flow, compressible flow relations, and data from CFD or wind tunnels.
  • 5Contribute domain knowledge to guide model improvements and refine AI reasoning in aerodynamics.
  • 6Document insights and explanations clearly to support AI learning and performance.
  • 7Collaborate with a remote, distributed team of experts and project participants.

Requirements5

  • 1Bachelor’s degree or higher in Aerospace Engineering or Mechanical Engineering with a thermofluids/aero focus; or a related BS with 3+ years of hands-on experience.
  • 2At least 3 years of direct work in aerodynamic design or analysis (external aero, CFD, wind tunnel, propulsion, or vehicle aero).
  • 3Strong grasp of compressible and incompressible flow, boundary layers, turbulence modeling, and propulsion integration aerodynamics.
  • 4Proven ability to analyze performance using CFD tools, wind tunnel data reduction, or analytical methods.
  • 5Familiarity with standards and practices such as AIAA guidelines, wind tunnel protocols, and CFD verification/validation.

Who Should Apply

The ideal candidate brings solid hands-on aerodynamic experience and can clearly articulate technical reasoning in writing and speech. This role suits someone who thrives on precise detail and can judge AI generated content for engineering accuracy. It may be less suitable for those without practical CFD, wind tunnel, or propulsion experience or who cannot work effectively in a distributed remote team. Common fit issues include limited exposure to external aero domains or lack of familiarity with industry standards and data reduction methods.

Salary Insight

Pay is hourly and based on tasks completed within the project. The listed range is $60 to $130 per hour. Pay is discussed as you advance, with compensation tied to task outcomes.

Pay and demand for AI Training roles

Aggregated

Typical pay

$70/hour

This role

$60–$130/hr

Most AI Training roles pay $43–$100 per hour. This role's pay falls inside that range.

Based on 1,073 similar roles that publish pay · 302 publish only a top rate; those count at the rate they gave

Typical rangeMedian payThis role

Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.

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Most requested skills · share of roles

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Location

TypeRemote
LocationRemote
This is a remote position

Compensation

$60–130/hr

Required Skills

aerodynamicscomputational fluid dynamics (cfd)technical writingverbal communicationpeer reviewaerospace engineeringmechanical engineeringthermofluidsexperimental methodstechnical documentationknowledge distillationcollaborationremote teamworkworkflow optimizationcritical analysis

Application Tip

Highlight hands-on CFD or wind tunnel experience and cite a concrete AI or modeling project where your analysis drove decisions, including any propulsion integration work.

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