CFD & Aerodynamic Engineer (AI Training & Evaluation)

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 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 instructions, assessment access, and project payments.

• Due to the high volume of applicants, shortlisted candidates will be contacted.