Alignerr
CFD Engineer — AI Task Designer (OpenFOAM)
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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
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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
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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
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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