Aerodynamics and CFD AI Training Expert

OpenTrain AI, Inc.; United States; Remote; USD 110,000 - 165,000; Part time

Benefits offered by this job

Remote work

Flexible schedule

Job summary

OpenTrain AI, Inc. is seeking a remote, part-time contractor to create, solve, review, and validate engineering tasks used to train AI systems. The work focuses on aerodynamics, CFD, and Python-based workflows that can run via command-line tools.

You will turn physical requirements into computational models and solver-ready cases, then assess stability and physical validity of results. Fluent English is required and experience with Python-based automation is essential.

Qualifications

• Graduate training in aerospace engineering, or mechanical engineering with aero specialization.
• Bachelor's degree in aerospace/mechanical engineering with 1–2 years aerospace experience.
• Strong knowledge of fluid mechanics and applied aerodynamics.
• Experience formulating and running CFD or aerodynamic analyses.
• Practical Python skills with CLI, scripting interface, or programmatic API.
• OpenFOAM, SU2, Gmsh, FEniCSx, Elmer, CalculiX, SciPy, NumPy, pandas, Matplotlib, Jupyter or similar tools.

Responsibilities

• Analyze airfoils and aerodynamic problems.
• Create/modify geometries, domains, and meshes.
• Set initial/boundary conditions, fluid properties, and solver settings.
• Run CFD and aerodynamic analyses via command-line tools.
• Automate preprocessing, simulations, postprocessing, and validation with Python.
• Calculate lift/drag and assess physical plausibility.
• Diagnose non-convergence and invalid results.
• Explain modeling choices and trade-offs clearly.

Skills

Fluid mechanics

Applied aerodynamics

CFD analysis

Python programming

Command-line tools

Scripting interfaces

English fluency

Education

Graduate training in aerospace/mechanical engineering with aero specialization

Bachelor's in aerospace/mechanical engineering with 1–2 years aerospace experience

Tools

OpenFOAM

SU2

Gmsh

FEniCSx

Elmer

CalculiX

SciPy/NumPy

Matplotlib

Jupyter

Job description

The Work

You will create, solve, review, and validate engineering tasks used to train AI systems. The work focuses on aerodynamics, computational fluid dynamics (CFD), engineering simulation, and Python-based workflows that can run through command-line tools.

You will turn physical requirements into computational models and solver-ready cases, then assess whether the results are numerically stable and physically valid.

• Analyze airfoils and other aerodynamic problems.
• Create or modify geometries, computational domains, and meshes.
• Set initial conditions, boundary conditions, fluid properties, and solver settings.
• Run CFD and aerodynamic analyses through command-line-accessible tools.
• Use Python to automate preprocessing, simulations, parameter sweeps, postprocessing, and validation.
• Calculate lift and drag and assess whether results are physically reasonable.
• Diagnose non-convergence, unstable solutions, incorrect results, and physically invalid outputs.
• Explain modeling assumptions, mesh strategies, solver settings, and engineering trade-offs clearly.

What It Pays and Takes

This is a remote, part-time contractor role for someone who can work independently on technical engineering and AI-training tasks.

• $80 to $120 per hour equivalent, paid per task that meets the project specifications.
• Approximately 15 hours per week, with a flexible schedule.
• Open to candidates in the United Arab Emirates, Argentina, Austria, Bangladesh, Belgium, Bahrain, Brazil, Canada, Switzerland, Chile, Colombia, Germany, Denmark, Algeria, Egypt, Spain, France, Ghana, Greece, Indonesia, India, Italy, Jordan, Japan, Kenya, Kyrgyzstan, Kuwait, Kazakhstan, Lebanon, Sri Lanka, Morocco, Mexico, Malaysia, Nigeria, the Netherlands, Oman, Peru, the Philippines, Pakistan, Palestine, Portugal, Qatar, Saudi Arabia, Singapore, Thailand, Tunisia, Taiwan, the United States, Uzbekistan, Vietnam, and South Africa.
• Fluent in English.
• Experience level: entry level.
• Graduate training in aerospace engineering, or mechanical engineering with a specialization in aerodynamics, fluid dynamics, or thermofluids.
• Alternatively, a bachelor's degree in aerospace or mechanical engineering with 1 to 2 years of aerospace-specific professional or research experience.
• Strong knowledge of fluid mechanics and applied aerodynamics.
• Experience formulating and running CFD or aerodynamic analyses.
• Practical Python skills and experience with a command-line tool, scripting interface, configuration-based tool, or programmatic API.
• Helpful tools include OpenFOAM, SU2, Gmsh, FEniCSx, Elmer, CalculiX, SciPy, NumPy, pandas, Matplotlib, Jupyter, solver APIs, and mesh-processing libraries. Equivalent engineering software experience is also acceptable.

About AI Training Work

AI training work uses examples prepared and reviewed by people to help artificial intelligence systems improve. Experts are needed for specialized tasks because they can judge technical accuracy, explain reasoning, and identify results that do not match real-world engineering principles.