Micro1 review · AI Training & Data Labeling
Aerodynamics Expert — CFD & Simulation Tasks (micro1)
What the work involves
micro1 is recruiting aerodynamics experts to create, solve, review and validate engineering tasks in computational fluid dynamics and aerodynamic analysis, all of it runnable from a command line. A representative task starts with an airfoil: prepare the computational domain and mesh, define appropriate boundary conditions, run the CFD simulation, calculate lift and drag, then decide whether the resulting flow field is numerically and physically valid. The tasks have to be reproducible from code, so the toolchain matters as much as the physics. Python carries the workflow, whether that is preprocessing, launching simulations, parameter sweeps, postprocessing or validation, alongside a solver and meshing stack such as OpenFOAM, SU2, Gmsh, FEniCSx, Elmer, CalculiX or SciPy.
They are also screening for diagnosis, not just execution: can you recognize non-convergence, an unstable solution, a result that is numerically fine but physically wrong, and say why. Contractor role, fully remote, around 15 hours a week on a schedule you set. No prior AI training work is required.
What you'll do
- Solve 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 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
- Diagnose non-convergence, unstable solutions, incorrect results and physically invalid outputs
Requirements & eligibility
- An MS or PhD in Aerospace Engineering, or Mechanical Engineering with an aerodynamics, fluid dynamics or thermofluids specialization; or a BS plus 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 with Python
- Experience with at least one engineering tool or library operable through a CLI, scripting interface, config files or programmatic API
- Able to select and justify modelling assumptions, boundary conditions, mesh strategies and solver settings
- Able to diagnose non-convergence, unstable solutions and physically invalid outputs
- Able to communicate technical reasoning and engineering trade-offs clearly
How to apply
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