Role OverviewWe are seeking experienced Aerodynamics and Computational Fluid Dynamics Professionals to contribute their technical knowledge to advanced AI training and evaluation initiatives. The work combines advanced engineering principles with programmatic simulation workflows, scientific computing, numerical validation, and structured technical evaluation to help improve the accuracy, reasoning, and computational capabilities of advanced AI systems.
What You Will Do
Develop, solve, review, and validate challenging engineering problems involving aerodynamic systems, CFD simulations, computational meshes, and fluid flow analysis. The work will involve aerodynamic problem development, CFD simulation, computational modelling, Python-based automation, and technical solution validation.
Why It Might Be a Fit
Ideal candidates will have a strong understanding of fluid mechanics, applied aerodynamics, computational methods, and engineering simulation principles. They will also have experience formulating, executing, and evaluating CFD or aerodynamic analyses, and practical proficiency with Python for scientific computing, numerical analysis, or engineering automation.
Requirements
- Master's degree (MSc/MS) or PhD in Aerospace Engineering, or Mechanical Engineering with a specialisation in aerodynamics, fluid dynamics, or thermofluids
- Strong understanding of fluid mechanics, applied aerodynamics, computational methods, and engineering simulation principles
- Demonstrated experience formulating, executing, and evaluating CFD or aerodynamic analyses
- Practical proficiency with Python for scientific computing, numerical analysis, or engineering automation
- Experience using at least one engineering tool accessible through a command-line interface, scripting environment, configuration files, or programmatic API
- Familiarity with engineering software such as OpenFOAM, SU2, Gmsh, FEniCSx, Elmer, CalculiX, or comparable computational tools
- Experience developing computational geometries, meshes, solver-ready cases, and reproducible simulation workflows
- Ability to define and justify modelling assumptions, fluid properties, boundary conditions, mesh strategies, and numerical solver settings
- Strong understanding of aerodynamic quantities, including lift, drag, pressure distributions, and relevant flow characteristics
- Demonstrated ability to diagnose non-convergent simulations, numerical instability, incorrect results, and physically invalid outputs
- Experience automating simulation execution, parameter studies, postprocessing, or engineering validation procedures
- Familiarity with Python libraries such as NumPy, SciPy, pandas, Matplotlib, Jupyter, or relevant domain-specific scientific packages
- Strong analytical reasoning, mathematical problem-solving, critical-thinking, and technical research capabilities
- Ability to evaluate computational results and explain engineering assumptions, numerical limitations, and technical trade-offs
- Exceptional attention to detail and commitment to accurate, reproducible, and well-documented engineering work
- Excellent written communication skills, including the ability to explain sophisticated aerodynamic concepts and computational findings clearly
- Ability to work independently and manage complex technical assignments in a remote environment
Benefits
- Competitive hourly rate ($80–$120/hour)
- Output-based compensation, with payment made per completed task that meets project specifications
- Flexible schedule, including weekends
- 100 available openings
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