CFD 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 contributors for specialized projects that help shape how cutting-edge AI systems understand and respond to complex information.

About AI Training Work

AI training is the human side of building artificial intelligence. Experts create examples, write prompts, verify solutions, and evaluate model responses so AI systems can produce more accurate and useful results.

In this project, your engineering expertise will help train and evaluate models on fluid-dynamics reasoning. The work is remote, flexible, and asynchronous, allowing you to contribute on your own schedule while working at the forefront of AI development.

The Role

OpenTrain AI is seeking an expert CFD AI Task Designer to create small, precisely defined engineering challenges grounded in physics and real fluid-dynamics practice. You will design bite-sized exam-style problems that are unambiguous, objectively verifiable, and suitable for automatic grading.

No machine learning background is required. The role is a freelance, hourly contract requiring 20+ hours per week, with work available to qualified contributors in the United States and India.

• Employment type: Part-time contractor
• Schedule: 20+ hours per week; independent and asynchronous
• Pay: $80–$110 USD per hour
• Language: English
• Experience level: Expert
• Work location: Remote; United States or India

What You'll Do

You will turn your CFD knowledge into rigorous training and evaluation tasks. Each challenge should be self-contained, physically accurate, clearly explained, and appropriately difficult for testing AI engineering reasoning.

• Design compact CFD and aerodynamics tasks that test engineering reasoning
• Write problem statements covering boundary-condition selection, mesh quality, flow-regime identification, and simulation setup
• Develop deterministic scoring checkers that automatically evaluate model answers
• 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
• Use OpenFOAM experience to ground challenges in real-world engineering practice

Required Qualifications

This role is intended for an experienced CFD practitioner who can explain complex physics clearly and formulate engineering problems that can be evaluated objectively. A background in Aerospace Engineering, Mechanical Engineering, or a closely related discipline is preferred at the BS level or higher.

• 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
• Strong written communication skills for explaining complex physics clearly and concisely
• Background in Aerospace Engineering, Mechanical Engineering, or a related discipline; BS or higher preferred
• Self-motivated and reliable when working independently without supervision

Helpful Background

The following experience is helpful but not required. It may be especially valuable when creating varied, realistic, and technically demanding CFD challenges.

• Experience with multiple CFD solvers or multiphysics platforms
• Familiarity 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
• Interest in how large language models reason about STEM problems

Why Join This Project

Your work will directly influence how AI systems approach specialized engineering questions. By contributing verified problems, reference solutions, and reliable evaluation logic, you will help make AI reasoning more useful for technical and scientific applications.

OpenTrain makes it easier to discover and grow a career in AI training. Creating an OpenTrain account is free, and expert contributors can apply to projects that match their knowledge and experience.