You will create, solve, review, and validate computational fluid dynamics and aerodynamic engineering tasks used to train AI systems. The work includes building reproducible simulation workflows and checking whether engineering results are numerically sound and physically realistic.
- Formulate fluid dynamics and aerodynamics problems as computational models.
- Create or modify geometries, computational domains, and meshes.
- Set fluid properties, initial conditions, boundary conditions, and solver settings.
- Run CFD workflows using command-line tools, scripts, configuration files, or programmatic interfaces.
- Use Python for preprocessing, simulation runs, parameter sweeps, postprocessing, and validation.
- Analyze pressure, velocity, forces, moments, lift, drag, pressure loss, and related results.
- Diagnose mesh quality, convergence, numerical stability, turbulence modeling, boundary-condition, and physical-validity problems.
- Perform mesh-independence studies and compare results with analytical, experimental, or reference data.
- Review AI-generated engineering solutions, identify incorrect assumptions or configurations, and create reproducible reference solutions and verification criteria.
What it pays and takes
This is a global, fully remote contractor role with flexible scheduling. The work is focused on CFD, aerodynamics, fluid mechanics, scientific computing, and engineering review.
- Pay: $80 to $150 per hour, paid hourly in USD.
- Schedule: Approximately 15 hours per week with flexible scheduling.
- Location: Open to candidates in the listed countries below.
- Language: English-language work.
- Education: A relevant MS or PhD in Aerospace Engineering, or Mechanical Engineering with an aerodynamics, fluid dynamics, or thermofluids specialization.
- Alternative education and experience: A BS in Aerospace or Mechanical Engineering with one to two years of aerodynamics-focused professional or research experience.
- Required knowledge: Strong fluid mechanics and applied aerodynamics knowledge, plus practical CFD or aerodynamic analysis experience.
- Required tools and skills: Python, scientific computing, and at least one command-line-accessible or programmatically configurable engineering tool.
- You must be able to explain modeling assumptions, boundary conditions, mesh strategies, and solver settings.
- Useful tools include OpenFOAM, SU2, Gmsh, FEniCSx, Elmer, CalculiX, SciPy, NumPy, pandas, Matplotlib, Jupyter, solver APIs, mesh-processing libraries, or equivalent programmatic engineering tools.
- Compensation terms should be confirmed before work begins.
- Open to candidates in the United Arab Emirates, Argentina, Austria, Bangladesh, Belgium, Bahrain, Brazil, Canada, Switzerland, Chile, Colombia, Germany, Denmark, Algeria, Egypt, Spain, Ethiopia, France, the United Kingdom, Ghana, Greece, Indonesia, India, Italy, Jordan, Japan, Kenya, Kyrgyzstan, Kuw
How it works
Apply on OpenTrain with your resume, then complete the application on the hiring site. OpenTrain is the hiring and contracting organization for this role.
About AI training work
AI training work uses human expertise to create, review, and improve the examples that AI systems learn from. Specialists are needed to check whether technical answers, simulations, and reasoning are accurate and useful. OpenTrain helps people find and build careers in this work.
