Freelance Mechanical CFD Engineer – AI Trainer
New
J
JobgetherComputational fluid dynamics
Work from anywhere in IndiaPart-TimeMiddle
SalaryUp to the equivalent of $9 per hour
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Job Details
- Languages
- English proficiency at B2 level or above
- Experience
- Several years of hands-on CFD experience
- Required Skills
- PythonGitHub
Requirements
- Hold a degree in Mechanical Engineering, Aerospace Engineering, or a related discipline such as Energy Engineering or Oil and Gas Engineering.
- Have several years of hands-on CFD experience in an industrial or research environment.
- Have practical experience with OpenFOAM, ANSYS Fluent, ANSYS CFX, or STAR-CCM+, including mesh generation and simulation setup.
- Understand fluid mechanics, numerical simulation methods, and CFD modeling principles.
- Have experience with verification and validation, including mesh-independence studies and validation against experimental data or established benchmarks.
- Be proficient in Python for scripting, automating checks, and evaluating simulation outputs.
- Be familiar with GitHub and version control workflows.
- Have English proficiency at B2 level or above and be able to understand technical documentation and communicate engineering findings.
- Work independently, manage assigned tasks, and deliver accurate, well-documented work in a remote freelance environment.
- A PhD is preferred but not required.
Responsibilities
- Set up and run CFD simulations using CAD geometries and appropriate simulation methodologies.
- Prepare simulation models, define boundary conditions, and perform meshing using established CFD workflows.
- Develop accurate, verified reference solutions for evaluating AI agents on fluid simulation tasks.
- Assess AI-generated engineering solutions for technical correctness, numerical reliability, and consistency with expected outcomes.
- Conduct mesh-independence studies and validate results against experimental data, benchmarks, or other reliable references.
- Develop Python scripts and checks to evaluate AI-generated results and identify errors.
- Document simulation methods, assumptions, validation approaches, and expected results.
- Investigate complex fluid mechanics problems and identify potential issues in simulation workflows.
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