Aerodynamics Expert - Remote

YO AI Labs · AI Training Data & Annotation · AI Evaluation & Observability · Master's Degree · Python · 14 days ago

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Salary

$160k – $260k per year

Location

Remote (United States)

Seniority

Senior · 1+ year exp

Confirmed on the employer's own hiring board on Nov 4, 2026. First seen by Alion on Oct 21, 2026.

Overview

Company

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YO AI Labs

YO AI Labs is an artificial intelligence platform specializing in AI model training, evaluation, and data annotation services. Headquartered in San Francisco, California, United States, the company connects domain experts and remote specialists across the globe to review, test, and benchmark generative AI model outputs. Through its decentralized workforce solutions and structured evaluation workflows, it enables frontier technology developers to enhance the accuracy, safety, and reliability of next-generation artificial intelligence systems.

yoailabs.com · HQ: San Francisco, United States · AI Evaluation & Observability · AI Training Data & Annotation · 5000+ employees

Tech stack of YO AI Labs

Aerodynamics Expert

Role Type: Contractor

Location: Global, Remote

Schedule: ~15 hrs/week, Flexible

Pay: $80-$130/hour

micro1 is seeking Aerodynamics Experts to support an AI training project involving CFD, aerodynamic analysis, engineering simulations, and Python. No prior AI experience is required.

Key Responsibilities

Solve and validate aerodynamic and fluid-dynamics problems.
Develop computational models, geometries, meshes, and solver configurations.
Run and automate CFD workflows using Python and CLI-based tools.
Analyze lift, drag, pressure, velocity, and other simulation results.
Diagnose mesh, convergence, stability, turbulence, and boundary-condition issues.
Perform validation, sanity checks, and mesh-independence studies.
Review AI-generated engineering solutions for technical accuracy.

Required Skills

Aerodynamics
Fluid Mechanics & CFD
Python
Computational Modeling & Simulation
Mesh & Solver Configuration
Numerical Validation & Troubleshooting
Technical Problem-Solving

Qualifications

MS/PhD in Aerospace/Mechanical Engineering, or BS + 1-2 years of relevant aerodynamics experience.
Strong aerodynamics and CFD knowledge with practical Python experience.
Experience with CLI/programmatic tools such as OpenFOAM, SU2, Gmsh, FEniCSx, SciPy, or equivalent.
Ability to clearly communicate technical reasoning and engineering trade-offs.

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