CFD AI Task Designer

OpenTrain AI; Northern (KY); Hybrid; USD 110,000 - 152,000; Part time

Benefits offered by this job

Flexible scheduling

Remote work

Potential for ongoing work

Job summary

OpenTrain AI is seeking a CFD AI Task Designer to create compact, self-contained engineering challenges for training and evaluating AI models. You will develop problems involving boundary-condition selection, mesh quality assessment, flow-regime identification, and simulation setup, then support each task with deterministic evaluation and a verified solution.

This is a remote, part-time freelance contractor position for candidates in the United States.

Qualifications

• Hands-on CFD experience with OpenFOAM
• Strong written communication to explain complex physics clearly
• Background in aerospace or mechanical engineering, or closely related discipline
• Bachelor's degree or higher preferred, in a relevant field
• Ability to formulate precise, self-contained, and verifiable engineering problems

Responsibilities

• Design CFD and aerodynamics tasks that test AI engineering reasoning
• Write clear, unambiguous problem statements across a range of topics
• Develop deterministic scoring checkers that automatically evaluate final answers
• Provide trusted reference solutions confirming each task is solvable
• Review and iterate on tasks for physical accuracy, clarity, and difficulty
• Ground task design in real-world OpenFOAM practice
• Work independently and asynchronously on your own schedule

Skills

OpenFOAM

CFD fundamentals

Aerospace/Mechanical eng background

Written communication

Mesh generation

Turbulence modeling

Boundary conditions

Post-processing

Problem formulation

Education

Bachelor's degree or higher

Tools

Python

Bash

MATLAB

Job description

About OpenTrain

OpenTrain AI is the hiring and contracting organization for this role and the #1 platform for finding and building careers in AI training and data labeling. OpenTrain helps people discover opportunities, build a professional AI-training profile, and apply in minutes. Creating an OpenTrain account is free.

About AI Training Work

AI training is the human side of building modern artificial intelligence. Specialists prepare examples, write and evaluate model responses, and create reliable tests that help AI systems learn how to reason. In this role, your engineering judgment will help train and assess models on computational fluid dynamics and real-world physical reasoning.

• Work remotely with a computer and internet connection
• Contribute to cutting-edge AI development through specialized technical expertise
• Use flexible, task-based work to build experience in a fast-growing field

The Role

OpenTrain AI is seeking a CFD AI Task Designer to create compact, self-contained engineering challenges for training and evaluating AI models. You will develop problems involving boundary-condition selection, mesh quality assessment, flow-regime identification, and simulation setup, then support each task with deterministic evaluation and a verified solution.

This is a remote, part-time freelance contractor position for candidates in the United States. The role requires 20 or more hours per week, offers flexible scheduling, and pays $80 to $110 per hour.

• Job type: Part-time contractor
• Location: Remote, United States
• Language: English
• Time requirement: 20+ hours per week
• Pay: $80 to $110 per hour

What You'll Do

You will turn practical CFD knowledge into precise, verifiable tasks that reveal how well an AI model understands engineering concepts. Each challenge should be clear, physically accurate, appropriately difficult, and grounded in real OpenFOAM practice.

• Design CFD and aerodynamics tasks that test AI engineering reasoning
• Write clear, unambiguous problem statements across a range of topics
• Develop deterministic scoring checkers that automatically evaluate final answers
• Provide trusted reference solutions confirming that each task is solvable
• Review and iterate on tasks for physical accuracy, clarity, and difficulty
• Ground task design in real-world OpenFOAM practice
• Work independently and asynchronously on your own schedule

Required Qualifications

This role is intended for someone with hands-on CFD experience and the ability to explain complex physics precisely in writing. A background in aerospace engineering, mechanical engineering, or a closely related discipline is preferred at the bachelor's level or higher.

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

Additional Experience That Helps

The following experience is not required, but it can strengthen your ability to design varied and technically rigorous AI-training tasks.

• Experience with multiple CFD solvers or multiphysics platforms
• Scripting or automation skills in Python, Bash, or MATLAB
• Exposure to design optimization, flow-control strategies, or adjoint methods
• Graduate-level coursework in aerodynamics, propulsion, or computational methods
• Experience writing technical assessments or exam problems
• Interest in how large language models reason about STEM problems

Why Join OpenTrain

AI training gives subject-matter experts a direct way to influence how advanced models understand and respond to technical problems. Your CFD expertise can help teach AI systems real-world physical reasoning while you work remotely with the autonomy of a freelance engagement.

• Apply CFD expertise to AI research from a new perspective
• Work fully remotely with a flexible schedule
• Take on meaningful, task-based assignments with freelance autonomy
• Contribute directly to training AI models on real-world engineering reasoning
• Potential for ongoing work and contract extension