CFD Engineer: AI Task Designer (OpenFOAM)
up to $110/hr
source wording: “$80-110/hr”
- Platform
- Alignerr
- Category
- Coding & software eval
- Eligibility
- United States
- Freshness
- seen live 58 min ago
What this role asks for
- 10–40 hrs/week
- Python (preferred)
- Mechanical eng. (preferred)
Read from the posting's own words: show the exact sentences
- 10–40 hrs/week: “…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…”
- Python (preferred): “…multiphysics platforms * Familiarity with scripting or automation (Python, Bash, MATLAB) for setting up or post-processing simulations * Exposure to design…”
- Mechanical eng. (preferred): “…physics clearly and concisely * Background in Aerospace Engineering, Mechanical Engineering, or a closely related discipline (BS or higher preferred) * Self-motivated and reliable…”
The role, as Alignerr describes it
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.
Read the rest of the description (10 more paragraphs)
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 * 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
Posted by Alignerr, reproduced here so you can judge the role before clicking. Original posting ↗
Source: platform job feed · first seen 58 min ago · ID 39e18a3e-f9f2-45ce-b86d-b29f93c47a8b
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