Aerodynamics Expert - AI Trainer

Job TitleAerodynamics Expert - AI Trainer

Job TypeContractor (~15 hours per week)

LocationGlobal, fully remote

ScheduleFlexible—you can choose the hours and days you work, including weekends if desired The Role We are looking for a highly skilled

Aerodynamics Expertto contribute to an AI training project involving computational fluid dynamics, aerodynamic analysis, engineering simulation, and Python. The work involves creating, solving, reviewing, and validating engineering tasks that can be completed through programmatic, command-line-based workflows. A representative task may require analyzing an airfoil, preparing a computational domain and mesh, defining appropriate boundary conditions, running a CFD simulation, calculating lift and drag, and determining whether the resulting flow field is numerically and physically valid. This is a very coding heavy role. Candidates but have experience using coding agents with python in their workflow.

What You’ll OwnSolve and validate aerodynamic and fluid-dynamics problems. Translate physical requirements into computational models and solver-ready cases. Create or modify geometries, computational domains, and meshes. Define appropriate initial conditions, boundary conditions, fluid properties, and solver settings. Run CFD and aerodynamic-analysis workflows using command-line-accessible tools. Use Python to automate preprocessing, simulation execution, parameter sweeps, postprocessing, and validation. What We’re Looking For An MS or PhD in Aerospace Engineering, or Mechanical Engineering with an aerodynamics, fluid dynamics, or thermofluids specialization; or A BS in Aerospace or Mechanical Engineering plus at least 1–2 years of aero-specific professional or research experience. Strong understanding of fluid mechanics and applied aerodynamics. Experience formulating and executing CFD or aerodynamic analyses.

Practical proficiency withPython

.Experience with at least one engineering tool or library that can be operated through a CLI, scripting interface, configuration files, or programmatic API. Ability to select and justify modeling assumptions, boundary conditions, mesh strategies, and solver settings. Ability to diagnose non-convergence, unstable solutions, incorrect results, and physically invalid outputs. Ability to communicate technical reasoning and engineering trade-offs clearly. Relevant tools may include

OpenFOAM, SU2, Gmsh, FEniCSx, Elmer, CalculiX, SciPy, or similar programmatic engineering software. Experience with an equivalent CLI-accessible tool is acceptable. Relevant Python tools may include