CFD AI Training Task Designer (OpenFOAM)

About OpenTrain

OpenTrain AI is the #1 platform for finding and building careers in AI training and data labeling. We help contributors discover meaningful projects, build a professional portfolio, and grow their careers while working on the human side of how modern AI systems are developed.

About AI Training Work

AI models learn from carefully prepared examples, evaluations, and human feedback. In this role, your engineering judgment will help train and assess models on fluid dynamics reasoning, giving you the opportunity to contribute directly to cutting-edge AI development from anywhere.

• Fully remote work using a computer and internet connection
• Flexible, asynchronous scheduling suited to independent freelance work
• A chance to build a portable portfolio of specialized AI training projects

The Role

OpenTrain AI is recruiting a CFD AI Training Task Designer to create engineering challenges that test AI models on computational fluid dynamics and fluid dynamics reasoning. You will use your OpenFOAM expertise to write compact problem statements, develop deterministic scoring checkers, and provide verified reference solutions.

This is a remote, flexible freelance contractor position requiring 20+ hours per week. The role is listed at an entry-level experience tier, while the work itself requires hands-on OpenFOAM knowledge and a solid technical foundation in fluid mechanics, aerodynamics, and heat transfer.

• Contractor, part-time engagement
• 20+ hours per week
• Remote role open to applicants in Australia
• English-language work
• Pay range: USD $80–$110 per hour

What You'll Do

You will turn engineering concepts into self-contained tasks that can be answered and evaluated objectively. Each challenge should be physically accurate, clearly written, appropriately difficult, and suitable for automated assessment.

• Design compact CFD and aerodynamics tasks that test an AI model's engineering reasoning
• Write clear, unambiguous problems covering boundary-condition selection, mesh quality assessment, flow-regime identification, and simulation setup
• Develop deterministic scoring checkers that automatically evaluate a model's final answer
• Provide verified reference solutions confirming that each task is solvable and correctly scored
• Review and iterate on tasks for physical accuracy, clarity, and appropriate difficulty
• Work independently and asynchronously on your own schedule

Required Qualifications

This role is suited to someone who can combine practical CFD experience with strong technical communication. You should be able to explain complex physics concisely and formulate engineering problems that are precise, self-contained, and objectively verifiable.

• Hands-on experience with OpenFOAM
• Solid foundation in fluid mechanics, aerodynamics, and heat transfer fundamentals
• Comfort with mesh generation, turbulence modeling, boundary-condition specification, and post-processing
• Ability to formulate precise, self-contained engineering problems for automated scoring
• Strong written communication skills for explaining complex physics clearly
• Background in aerospace engineering, mechanical engineering, or a closely related discipline
• Bachelor of Engineering or Bachelor of Science degree or higher preferred

Additional Experience That Helps

The following experience is welcome and may help you design a broader range of technically rigorous tasks, but it is not required.

• Experience with multiple CFD solvers or multiphysics platforms
• Scripting or automation experience with Python, Bash, or MATLAB for simulation setup or post-processing
• Exposure to design optimization, flow-control strategies, or adjoint methods
• Graduate-level coursework or research in aerodynamics, propulsion, or computational methods
• Experience writing technical assessments, exam problems, or engineering challenges

Why Join OpenTrain

AI training and data labeling are among the fastest-growing ways to work in technology. By contributing specialized engineering challenges, you can help shape how AI models reason about real technical problems while developing a portfolio of work connected to the future of intelligent systems.

OpenTrain supports flexible, remote participation so you can work around your existing commitments. This opportunity also lets you apply your CFD expertise to meaningful AI work without needing to retrain as a data scientist.

• Contribute to the development and evaluation of AI reasoning
• Work remotely with flexible scheduling
• Apply specialized OpenFOAM and fluid dynamics expertise
• Build a portable portfolio of AI training work