CFD Engineer AI Task Designer

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. OpenTrain AI hires and contracts specialists for projects that help improve cutting-edge AI systems, while giving contributors a place to build a lasting professional profile.

Creating an OpenTrain account is free, and contributors can discover projects, showcase relevant experience, and apply in minutes.

About AI Training Work

AI training is the human side of building artificial intelligence. Subject-matter experts create examples, write evaluation tasks, and review model outputs so AI systems can reason more accurately and reliably.

This role brings computational fluid dynamics expertise into that process. You will translate practical engineering judgment into self-contained challenges, scoring methods, and reference solutions that can be used to evaluate AI reasoning.

The Role

OpenTrain AI is recruiting a CFD Engineer AI Task Designer to create engineering challenges involving aerodynamics, boundary conditions, flow physics, and simulation setup. The work is focused on applying your CFD knowledge to AI evaluation rather than writing machine-learning code or conducting reinforcement-learning research.

This is a remote, freelance contractor opportunity designed for independent, asynchronous work. The role is listed as entry level, but it requires specialized, hands-on CFD experience.

• Remote freelance contract
• Part-time schedule
• Compensation of $80–$110 per hour
• Work commitment described as 10–40 hours per week; the structured requirement is 20+ hours per week
• English-language work

What You'll Do

You will design CFD and aerodynamics tasks that test whether an AI model can apply sound engineering reasoning. Each task should be precise, self-contained, physically accurate, and objectively verifiable.

You will also build deterministic checkers and trusted reference solutions, then review and refine tasks for clarity, solvability, scoring accuracy, and appropriate difficulty. Work will be grounded in practical OpenFOAM experience.

• Create problems involving boundary-condition selection, mesh quality, flow-regime identification, and simulation setup
• Write clear prompts that require practical CFD and aerodynamics reasoning
• Develop deterministic checkers that evaluate model answers consistently
• Produce verified reference solutions demonstrating that each task is solvable and correctly scored
• Review tasks for physical accuracy, clarity, and appropriate difficulty
• Work independently and asynchronously

Required Qualifications

You should have hands-on OpenFOAM simulation experience and a strong foundation in fluid mechanics, aerodynamics, and heat transfer. You must be able to explain complex physics clearly in written English and formulate engineering problems with objective grading criteria.

A bachelor's degree or higher in aerospace engineering, mechanical engineering, fluid mechanics, or a closely related discipline is preferred.

• Hands-on experience with OpenFOAM
• Strong knowledge of CFD fundamentals, fluid mechanics, aerodynamics, and heat transfer
• Practical familiarity with mesh generation, mesh-quality assessment, turbulence modeling, boundary conditions, and post-processing
• Ability to create precise, self-contained, objectively gradable engineering problems
• Clear written English and the ability to explain complex physics
• Self-motivation and reliability when working independently

Helpful Background

Additional experience with CFD, multiphysics, automation, or technical assessment can support your work in this role.

• Experience with ANSYS Fluent, STAR-CCM+, SU2, or other CFD and multiphysics platforms
• Scripting or automation using Python, Bash, or MATLAB
• Exposure to design optimization, flow control, adjoint methods, propulsion, computational research, or technical assessment writing

Why Contribute Through OpenTrain

AI training and data-labeling work is a fast-growing part of technology, and specialist contributors help shape how advanced AI systems reason and behave. OpenTrain gives you a way to apply your engineering judgment to this emerging field while building a profile that reflects your AI training experience.

Through OpenTrain, you can discover projects that match your skills, show credible proof of work, and grow a long-term portfolio in AI training.

• Contribute engineering expertise to cutting-edge AI evaluation
• Work remotely with a flexible part-time schedule
• Build experience in AI training without needing machine-learning or reinforcement-learning research experience
• Create a stronger professional profile through OpenTrain