Remote CFD AI Trainer for Expert Fluid Simulations

Mindrift; Kentucky; À distance; USD 78 000 - 112 000; Plein temps

Résumé du poste

Mindrift seeks a CFD specialist to train and evaluate AI agents on expert fluid simulations. You will use CAD geometry to set up and run CFD tests, create verified reference solutions, and write Python checks to validate agent outputs.

The project is remote, with 10–20 hours per week on active phases. Requirements include a mechanical or aerospace engineering degree (PhD preferred), several years of hands-on CFD using OpenFOAM or ANSYS/STAR-CCM+, and strong Python and GitHub skills; English at

Qualifications

• Degree in Mechanical or Aerospace Engineering or related field; PhD preferred but not required.
• Several years of hands-on industry or research CFD with OpenFOAM, ANSYS Fluent/CFX or STAR-CCM+, including meshing.
• Solid verification/validation practice: mesh-independence studies and validation against experiments.

Responsabilités

• Train and evaluate AI agents on expert-level fluid simulation tasks.
• Take CAD geometry, set up and run simulations, build verified reference solutions.
• Write Python checks to verify the agent's results.

Connaissances

Python

CFD

GitHub

Formation

ME or AE degree

Outils

OpenFOAM

ANSYS Fluent/CFX

STAR-CCM+

Description du poste

Mindrift seeks a CFD specialist to train and evaluate AI agents on expert fluid simulations. You will use CAD geometry to set up and run CFD tests, create verified reference solutions, and write Python checks to validate agent outputs.

The project is remote, with 10–20 hours per week on active phases. Requirements include a mechanical or aerospace engineering degree (PhD preferred), several years of hands-on CFD using OpenFOAM or ANSYS/STAR-CCM+, and strong Python and GitHub skills; English at