Salary
$160k – $260k per year
Location
Remote (United States)
Seniority
Senior · 1+ year exp
Confirmed on the employer's own hiring board on Oct 27, 2026. First seen by Alion on Oct 21, 2026. YO AI Labs scores A on the Alion truth index.
Overview
Company
Impact
Profile match
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.
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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