Aerodynamics Expert for AI Training (Remote)
Listing checked September 7, 2026 · pay as published by Micro1
Overview
This contract role supports an AI training initiative focused on computational fluid dynamics and aerodynamic analysis. You will create, solve, and validate engineering problems using command-line workflows and Python. The work is fully remote with a flexible schedule of about 15 hours per week, and you can choose your own hours, including weekends. Typical tasks involve analyzing airfoils, setting up meshes and boundary conditions, running CFD simulations, and checking whether results are physically sound. You will also review AI-generated solutions for correctness and help build reproducible reference cases.
What You'll Do11
- 1Solve and validate aerodynamic and fluid-dynamics problems across a range of scenarios.
- 2Turn physical requirements into computational models and solver-ready cases.
- 3Create or modify geometries, computational domains, and meshes as needed.
- 4Set up initial conditions, boundary conditions, fluid properties, and solver settings.
- 5Run CFD and aerodynamic analyses using command-line-accessible tools.
- 6Use Python to automate preprocessing, simulation runs, parameter sweeps, postprocessing, and validation.
- 7Analyze outputs like pressure, velocity, forces, moments, lift, drag, and pressure loss.
- 8Troubleshoot issues with mesh quality, convergence, numerical stability, turbulence modeling, or boundary conditions.
- 9Perform mesh-independence studies, sanity checks, and comparisons against analytical or experimental data.
- 10Review AI-generated engineering solutions to spot incorrect assumptions, invalid setups, or unrealistic results.
- 11Develop clear, reproducible reference solutions and verification criteria.
Requirements9
- 1MS or PhD in Aerospace Engineering, or Mechanical Engineering with a focus on aerodynamics, fluid dynamics, or thermofluids.
- 2Alternatively, a BS in Aerospace or Mechanical Engineering plus 1–2 years of aero-specific professional or research experience.
- 3Strong grasp of fluid mechanics and applied aerodynamics.
- 4Hands-on experience setting up and running CFD or aerodynamic analyses.
- 5Practical proficiency with Python.
- 6Experience with at least one engineering tool or library that works via CLI, scripting, config files, or a programmatic API (e.g., OpenFOAM, SU2, Gmsh, FEniCSx, Elmer, CalculiX, SciPy).
- 7Ability to choose and justify modeling assumptions, boundary conditions, mesh strategies, and solver settings.
- 8Skill in diagnosing non-convergence, unstable solutions, incorrect results, and physically invalid outputs.
- 9Clear communication of technical reasoning and engineering trade-offs.
Who Should Apply
This role suits an aerodynamics specialist who enjoys hands-on problem solving and has solid Python skills. You should be comfortable working from the command line and scripting your analyses, not just clicking through a GUI. If you prefer purely visual tools or lack programming experience, this position will not be a good fit. Candidates often get rejected when they cannot demonstrate practical CFD experience or when their Python proficiency is too basic for automation tasks. Be ready to show how you have used code to drive simulations and validate results.
Salary Insight
The pay range is $80–$130 per hour, and compensation is output-based, meaning you get paid per task that meets project specs. The time per task varies based on your experience and workflow. No additional salary details are provided here, so expect to discuss specifics during the hiring process.
Pay and demand for Machine Learning & AI roles
AggregatedTypical pay
$70/hour
This role
$80–$130/hr
Most Machine Learning & AI roles pay $50–$100 per hour. This role's pay sits above that range.
Based on 607 similar roles that publish pay · 102 publish only a top rate; those count at the rate they gave
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
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Most requested skills · share of roles
- python14%
- llm evaluation8%
- ai training6%
- quality assurance6%
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Compensation
$80–130/hr
Required Skills
Application Tip
In your application, highlight a specific project where you used Python to automate a CFD workflow, such as running parameter sweeps or postprocessing results. Mention the tools you used (e.g., OpenFOAM, SU2) and quantify any improvements in efficiency or accuracy. This directly addresses the core requirement for programmatic, reproducible analyses.
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