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 accurate, 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 (BE/BSc 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 current projects launch

📌 CFD Engineer — AI Task Designer (OpenFOAM) (Melbourne)
🏢 Alignerr
📍 Melbourne