Remote Aerodynamics CFD Specialist (Part-Time)

YO AI Labs

Town of Texas (WI)

Remote

USD 85,962,000 - 139,689,000

Part time

14 days+
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Job summary

YO AI Labs is seeking an Aerodynamics Expert to support an AI training project involving CFD, aerodynamic analysis, and Python automation. This is a contract, remote, ~15 hours per week, with pay in the $80–$130/hour range.

You'll develop models, meshes, and solver configurations in OpenFOAM/SU2 and review AI-generated engineering solutions for technical accuracy. Strong CFD, Python, and problem-solving skills are essential; a MS/PhD or BS+1–2 years in aerospace/ME is preferred.

Qualifications

  • MS/PhD in Aerospace/Mechanical Engineering or BS + 1–2 years aerodynamics experience.
  • Strong aerodynamics and CFD knowledge with practical Python experience.
  • Experience with CLI/programmatic tools such as OpenFOAM, SU2, Gmsh, FEniCSx, SciPy, or equivalents.

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.

Skills

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

Education

MS/PhD in Aerospace/Mechanical Engineering
BS + 1–2 years aerodynamics experience

Tools

OpenFOAM
SU2
Gmsh
FEniCSx
SciPy

Job description

YO AI Labs is seeking an Aerodynamics Expert to support an AI training project involving CFD, aerodynamic analysis, and Python automation. This is a contract, remote, ~15 hours per week, with pay in the $80–$130/hour range.

You'll develop models, meshes, and solver configurations in OpenFOAM/SU2 and review AI-generated engineering solutions for technical accuracy. Strong CFD, Python, and problem-solving skills are essential; a MS/PhD or BS+1–2 years in aerospace/ME is preferred.

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