CFD & Aerodynamic Engineer (AI Training & Evaluation)

An enterprise client is seeking CFD & Aerodynamic Engineers to help train and evaluate next-generation AI systems by contributing real-world engineering expertise. This opportunity is offered by a leading AI data platform that enables organizations to build intelligent applications powered by high-quality human expertise. This opportunity is ideal for experienced CFD and Aerodynamics Engineers who enjoy solving complex engineering problems and want to contribute their expertise to the development of advanced AI systems. What You'll Do: Design compact, self-contained CFD and aerodynamics tasks that evaluate AI models' engineering reasoning. Create clear and technically accurate problem statements covering topics such as boundary conditions, mesh quality, flow regimes, and simulation setup. Develop deterministic scoring checkers that objectively evaluate AI-generated responses. Produce verified reference solutions to ensure each task is technically accurate and fully solvable. Review and refine engineering tasks to improve clarity, physical accuracy, and appropriate difficulty. Apply real-world experience with OpenFOAM to develop practical and realistic engineering scenarios. Work independently in a fully remote, asynchronous environment with complete scheduling flexibility. Requirements: Bachelor's degree (or higher) in Aerospace Engineering, Mechanical Engineering , or a closely related discipline. Hands-on experience using OpenFOAM for computational fluid dynamics simulations. Strong foundation in fluid mechanics, aerodynamics, and heat transfer principles. Experience with: Mesh generation Turbulence modeling Boundary condition specification Post-processing and simulation analysis Ability to write clear, precise, and objectively verifiable engineering problems. Excellent written English communication skills with the ability to explain complex technical concepts clearly. Self-motivated, detail-oriented, and able to work independently with minimal supervision. Nice to Haves: Experience working on aerospace, automotive, motorsports, renewable energy, or industrial CFD applications. Familiarity with advanced CFD validation and verification techniques. Experience reviewing technical documentation or engineering research. Previous experience contributing to AI, simulation, or data annotation projects. Fully remote, independent contractor opportunity. Flexible schedule with an expected workload of 10–39 hours per week , depending on project demand. Compensation ranges from $80–$110 USD per hour , based on qualifications and experience. Payments are issued weekly for completed work from the previous week. If selected, you will receive an Upwork contract offer along with onboarding instructions for the client's task platform. To be considered, candidates must: Submit an Upwork proposal. Complete the required Google Form. Accept the Upwork contract to receive onboarding instructions, assessment access, and project payments. Due to the high volume of applicants, only shortlisted candidates will be contacted.