Computational Fluid Dynamics AI Evaluation Engineer

You will evaluate AI-generated answers to complex computational fluid dynamics problems and use your engineering judgment to assess whether the reasoning and results are correct. The work combines practical CFD simulation, technical review, and clear explanations that help improve AI systems.

• Solve and evaluate problems involving mesh generation, turbulence models, multiphase flow, heat transfer, and solver configuration.
• Review AI-generated engineering responses for technical accuracy, correctness, and sound engineering judgment.
• Use mesh-independence studies, turbulence-model selection, boundary-condition checks, and convergence analysis to troubleshoot simulations.
• Validate fluid-flow, heat-transfer, and multiphysics results against experimental or analytical data.
• Write clear feedback and provide written and verbal explanations that help improve AI performance.

What it pays and takes

This is a remote, part-time contractor role for an individual technical contributor. The structured experience level is entry level, while hands-on CFD experience and advanced technical knowledge are preferred for the work.

• Pay: $50 to $150 per hour equivalent, paid per task that meets project specifications.
• Time commitment: 20+ hours per week.
• Work arrangement: Remote contractor engagement.
• Language: Excellent English proficiency, with strong written and verbal communication.
• Education: A bachelor's degree or higher in mechanical engineering, aerospace engineering, chemical engineering, or a related fluid-dynamics or thermofluids field is preferred, or equivalent practical experience.
• Experience: At least three years of hands-on CFD simulation and validation experience is preferred.
• Technical knowledge: Navier-Stokes equations, RANS, LES, DES, meshing strategies, boundary conditions, and verification and validation.
• Analysis skills: Ability to use CFD tools for fluid-flow, heat-transfer, and multiphysics problems and compare results with experimental or analytical data.
• Helpful knowledge: ASME V&V 20, AIAA CFD verification and validation, ITTC procedures, or comparable practices.
• Helpful experience: ANSYS Fluent, STAR-CCM+, OpenFOAM, COMSOL, or Converge; technical problem authoring; committee service; competition leadership; or recognized CFD contributions.
• Location: 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, and Greece.
• Location: Also open to candidates in 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.

How it works

Apply on OpenTrain with your resume and then complete the application on the hiring site.

About AI training work

AI training is the human work behind systems that generate and evaluate answers. Contributors review examples, solve technical problems, and explain what is correct so AI systems can improve; specialized expertise is important when the work involves fields such as fluid dynamics and engineering.