CFD Engineer — AI Task Designer Remote (OpenFOAM)

CFD Engineer — AI Task Designer About The Role What if your expertise in computational fluid dynamics could teach AI to reason about aerodynamics, boundary conditions, and flow physics — without you ever having to write a single line of machine-learning code?

We’re looking for CFD engineers and aerodynamicists to design small, well-defined engineering challenges that train and evaluate AI models on real fluid-dynamics reasoning. Each task you create has three parts: a clear problem statement, a deterministic checker that scores the model’s answer, and a trusted reference solution that proves the task is solvable. Think of it as writing bite-sized CFD exam problems — grounded in physics, unambiguous, and automatically gradable.

No reinforcement-learning or AI research background is required. What matters is your hands-on simulation experience and your ability to translate domain knowledge into precise, solvable tasks.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You’ll Do

• Design compact, self-contained CFD and aerodynamics tasks that test an AI model’s engineering reasoning
• Write clear, unambiguous problem statements covering topics such as boundary-condition selection, mesh quality assessment, flow-regime identification, and simulation setup
• Develop deterministic scoring checkers that can automatically evaluate a model’s final answer
• Provide verified reference solutions that confirm each task is solvable and correctly scored
• Review and iterate on tasks to ensure physical accuracy, clarity, and appropriate difficulty
• Draw on your experience with OpenFOAM to ground tasks in real-world practice
• Work independently and asynchronously — fully on your own schedule

Who You Are

• Hands-on experience with OpenFOAM
• Solid foundation in fluid mechanics, aerodynamics, and heat transfer fundamentals
• Comfortable with mesh generation, turbulence modeling, boundary-condition specification, and post-processing
• Able to formulate engineering problems that are precise, self-contained, and objectively verifiable
• Strong written communication skills — you can explain complex physics clearly and concisely
• Background in Aerospace Engineering, Mechanical Engineering, or a closely related discipline (BS or higher preferred)
• Self-motivated and reliable when working independently without supervision

Nice to Have

• Experience across multiple CFD solvers or multiphysics platforms
• Familiarity with scripting or automation (Python, Bash, MATLAB) for setting up or post-processing simulations
• Exposure to design optimization, flow-control strategies, or adjoint methods
• Graduate-level coursework or research in aerodynamics, propulsion, or computational methods at institutions such as IITs, IISc, or NITs
• Previous experience writing technical assessments, exam problems, or engineering challenges
• Interest in how large language models reason about STEM problems

Why Join Us

• Apply your CFD expertise to cutting-edge AI research alongside leading labs — from a completely new angle
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, task-based work
• No need to retrain as a data scientist — your engineering judgment is exactly what’s needed
• Contribute directly to teaching AI models real-world physical reasoning
• Potential for ongoing work and contract extension as new projects launch