CFD Engineer — AI Task Designer Remote (OpenFOAM)
About this role
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
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