5D AGO

CFD Engineer — AI Task Designer (OpenFOAM)

Alignerr / CFD Engineer

RATE

$80-$110/HR

LOCATION

REMOTE (GLOBAL)

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DESCRIPTION

# 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 (BEng/MEng 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 * 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