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CFD Engineer — AI Task Designer (Remote Contract)

Alignerr

AI Expert - Mechanical Engineering Contractor
Remote (Global) $80 – $110/hr June 19, 2026

Job 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 (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
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