Aerodynamics Expert (MSc. or PhD) (English)

You will create, solve, review, and validate engineering tasks used to train AI. The work focuses on computational fluid dynamics, aerodynamic analysis, 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.

• Solve and validate aerodynamic and fluid-dynamics problems.
• Create or change 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 for preprocessing, execution, parameter sweeps, postprocessing, and validation.
• Diagnose non-convergence, unstable solutions, incorrect results, and physically invalid outputs.

This is a fully remote, part-time contractor role with a flexible schedule. The work is open to candidates in the countries listed for this project and requires English fluency.

• Pay: $80 to $120 per hour equivalent, paid per task that meets the project specifications.
• Schedule: Approximately 15 hours per week with flexible timing.
• Location: Open to candidates in Algeria, Argentina, Austria, Bahrain, Bangladesh, Belgium, Brazil, Canada, Chile, Colombia, Denmark, Egypt, France, Germany, Ghana, Greece, India, Indonesia, Italy, Japan, Jordan, Kazakhstan, Kenya, Kuwait, Kyrgyzstan, Lebanon, Malaysia, Mexico, Morocco, the Netherlands, Nigeria, Oman, Pakistan, Palestinian Territories, Peru, the Philippines, Portugal, Qatar, Saudi Arabia, Singapore, South Africa, Spain, Sri Lanka, Switzerland, Taiwan, Thailand, Tunisia, the United Arab Emirates, the United States, Uzbekistan, and Vietnam.
• Education: Graduate training in aerospace engineering, or in mechanical engineering with an aerodynamics, fluid dynamics, or thermofluids specialization.
• Alternative education: A bachelor's degree in aerospace or mechanical engineering plus one to two years of aerospace-specific professional or research experience.
• Technical skills: Strong fluid mechanics and applied aerodynamics knowledge, plus experience formulating and running CFD or aerodynamic analyses.
• Programming: Practical Python skills and experience with a command-line interface, scripting interface, configuration-based tool, or programmatic API.
• Communication: Ability to explain modeling assumptions, boundary conditions, mesh strategies, and solver settings, and to communicate technical reasoning and engineering trade-offs clearly.
• Helpful tools: OpenFOAM, SU2, Gmsh, FEniCSx, Elmer, CalculiX, SciPy, NumPy, pandas, Matplotlib, Jupyter, solver APIs, mesh-processing libraries, or similar scientific and engineering software. No single library is mandatory.

You apply here in about two minutes and finish on the hiring platform. The next step is a short AI interview (technical roles include a coding challenge). Passing it is how you qualify for paid tasks, so take it soon after you are invited.

AI training is the human work behind systems that learn from examples. In this role, your engineering solutions and reviews help prepare and evaluate technical examples, and specialized knowledge matters because AI models need accurate expert feedback.

OpenTrain helps people find AI training and data-labeling projects, build a profile, and apply in one place. Creating an OpenTrain account is free.