Aerodynamics Expert (MSc. or PhD)
Listing checked October 16, 2026 · pay as published by Micro1
Overview
This is a fully remote contractor role for an Aerodynamics Expert to support an AI training project. You will create, solve, and validate engineering tasks that involve computational fluid dynamics, aerodynamic analysis, and Python automation. The work is programmatic and command-line based, with a representative task being the analysis of an airfoil from mesh generation through to lift and drag calculation. You can choose your own hours, working about 15 hours per week, including weekends if you prefer.
What You'll Do8
- 1Solve and validate problems in aerodynamics and fluid dynamics.
- 2Convert physical requirements into computational models and solver-ready cases.
- 3Create or modify geometries, computational domains, and meshes.
- 4Set initial conditions, boundary conditions, fluid properties, and solver settings.
- 5Run CFD and aerodynamic-analysis workflows using command-line-accessible tools.
- 6Use Python to automate preprocessing, simulation execution, parameter sweeps, postprocessing, and validation.
- 7Review and validate engineering tasks for numerical and physical correctness.
- 8Diagnose non-convergence, unstable solutions, incorrect results, and physically invalid outputs.
Requirements9
- 1MS 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 1-2 years of aero-specific professional or research experience.
- 2Solid grasp of fluid mechanics and applied aerodynamics.
- 3Experience formulating and executing CFD or aerodynamic analyses.
- 4Practical proficiency with Python.
- 5Experience with at least one engineering tool or library that can be operated through a CLI, scripting interface, configuration files, or programmatic API.
- 6Ability to select and justify modeling assumptions, boundary conditions, mesh strategies, and solver settings.
- 7Ability to communicate technical reasoning and engineering trade-offs clearly.
- 8Familiarity with tools such as OpenFOAM, SU2, Gmsh, FEniCSx, Elmer, CalculiX, SciPy, or similar programmatic engineering software.
- 9Comfort with Python libraries such as NumPy, SciPy, pandas, Matplotlib, Jupyter, solver APIs, or mesh-processing libraries.
Who Should Apply
This role suits an engineer with a strong foundation in aerodynamics and fluid mechanics who enjoys building and debugging CFD workflows through code. You should have hands-on experience with Python and at least one CLI-accessible simulation tool, and be ready to start within 24-48 hours of onboarding.
Salary Insight
The pay range is $80 to $120 per hour. Compensation is output-based, meaning you are paid per task that meets project specifications. The time to complete each task varies with your experience and workflow. Minimum submission requirements apply.
Pay and demand for Machine Learning & AI roles
AggregatedTypical pay
$80/hour
This role
$80–$120/hr
Most Machine Learning & AI roles pay $55–$105 per hour. This role's pay falls inside that range.
Based on 533 similar roles that publish pay · 95 publish only a top rate; those count at the rate they gave
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Most requested skills · share of roles
- python20%
- technical writing11%
- ai evaluation8%
- model evaluation7%
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Compensation
$80–120/hr
Required Skills
Application Tip
Highlight specific CFD projects where you used Python to automate preprocessing, simulation, or postprocessing. Name the exact tools you used, such as OpenFOAM or SU2, and describe how you validated results or diagnosed convergence issues.
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