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 in English — you can explain complex physics clearly and concisely
- Background in Aerospace Engineering, Mechanical Engineering, Strömungsmechanik, or a closely related discipline (BSc or higher preferred)
- Self-motivated and reliable when working independently without supervision
Nice to Have
- Experience across multiple CFD solvers or multiphysics platforms (e.g., ANSYS Fluent, STAR-CCM+, SU2)
- 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