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 is recruiting a CFD Engineer, AI Task Designer to help create specialized training and evaluation content for advanced AI systems.

You will work as an independent contractor on a remote, flexible project while building experience in a fast-growing technical field. Creating an OpenTrain account is free, and contributors can build a profile that reflects their AI training work.

About AI Training Work

AI training is the human side of building artificial intelligence. Engineers and other specialists help models learn by creating difficult examples, reviewing responses, and defining reliable standards for judging whether an answer is correct.

In this role, your CFD expertise will help turn real engineering judgment into compact, self-contained tasks that test fluid-dynamics reasoning. Your work will contribute directly to how AI systems understand and solve technical problems.

The Role

OpenTrain is seeking a CFD Engineer, AI Task Designer to create engineering challenges for training and evaluating AI models on fluid-dynamics reasoning. Each task should include a clear problem statement, a deterministic checker for grading the model's answer, and a trusted reference solution demonstrating that the task is solvable.

You will review and refine tasks for physical accuracy, clarity, and appropriate difficulty. The role is designed for engineers who can apply sound CFD judgment to AI training tasks; machine-learning or reinforcement-learning experience is not required.

• Subject matter: CFD and aerodynamics task design
• Freelance contractor and part-time role
• Remote and asynchronous work
• Advertised rate: $80 to $110 per hour
• Work commitment: 10 to 40 hours per week, with a listed requirement of 20+ hours per week
• English-language work for candidates in Australia

What You'll Do

You will translate practical knowledge of aerodynamics, boundary conditions, mesh quality, flow regimes, and simulation setup into precise engineering problems with objectively verifiable answers. You will also use OpenFOAM experience to ensure the content reflects realistic engineering practice.

• Design CFD and aerodynamics challenges grounded in real engineering practice
• Write unambiguous task statements covering simulation setup, boundary conditions, mesh assessment, and flow-regime identification
• Build deterministic scoring checkers for model answers
• Prepare verified reference solutions
• Confirm that tasks are objectively gradable and technically solvable
• Review task quality for physical accuracy, clarity, and appropriate difficulty
• Work independently and asynchronously on a flexible schedule

Required Qualifications

This opportunity requires practical CFD experience and a strong foundation in fluid mechanics. You should be able to explain complex physical reasoning clearly and formulate engineering problems whose answers can be checked objectively.

• Hands-on experience with OpenFOAM, including simulation setup and post-processing
• Strong knowledge of fluid mechanics, aerodynamics, and heat transfer fundamentals
• Practical comfort with mesh generation, turbulence modeling, boundary conditions, and post-processing
• Ability to select appropriate boundary conditions and identify flow regimes
• Ability to write self-contained engineering problems with deterministic, objectively verifiable answers
• Clear technical communication when explaining complex physics
• Background in aerospace engineering, mechanical engineering, or a closely related discipline
• A BE or BSc degree or higher is preferred
• Reliable independent working habits and strong written communication

Helpful Background

Additional experience can help you develop a broader range of realistic and challenging tasks, although the core requirements are hands-on OpenFOAM experience and strong CFD fundamentals.

• Experience with multiple CFD solvers or multiphysics platforms
• Python, Bash, or MATLAB scripting for simulation setup or post-processing
• Exposure to design optimization, flow control, adjoint methods, propulsion, or computational research
• Experience writing technical assessments, exam problems, or engineering challenges

Work Style and Compensation

This remote freelance hourly role supports asynchronous work, allowing you to organize your schedule independently. The advertised compensation is $80 to $110 per hour, with a commitment of 10 to 40 hours per week and a listed time requirement of 20+ hours per week.

• Remote work
• Flexible, asynchronous schedule
• Independent contractor engagement
• $80 to $110 per hour
• 10 to 40 hours per week advertised

Build Your AI Training Career

OpenTrain brings together opportunities to help people start and grow careers in AI training and data labeling. By applying your CFD expertise to model evaluation and task design, you can build credible experience in a cutting-edge industry while contributing to the development of capable AI systems.

Create a free OpenTrain account, build your profile, and apply for this opportunity in minutes.