CFD Engineer
Alignerr
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.