CFD Engineer - AI Trainer

Mindrift; Madrid; A distancia; EUR 32.000 - 45.000; A tiempo parcial

Ventajas ofrecidas por este puesto de trabajo

Fully remote

Flexible schedule

Descripción de la vacante

Mindrift is seeking a CFD-focused freelancer to train and evaluate AI agents on expert fluid simulations. You will take CAD geometry, set up simulations, and produce verified reference solutions with Python checks for results.

The role requires several years of hands-on CFD with OpenFOAM or similar tools, strong verification/validation practice, and proficiency in Python and GitHub. Remote, flexible hours, English at B2 level.

Formación

• Degree in Mechanical or Aerospace Engineering or related field.
• Several years of hands-on CFD with OpenFOAM, ANSYS Fluent/CFX or STAR-CCM+, including meshing.
• Solid verification and validation; mesh-independence studies.
• Comfortable with Python and GitHub.
• English at B2 level or above.
• Nice to have: aerospace, automotive, offshore or turbomachinery background; multiphase or particle-laden flow experience.

Responsabilidades

• Train and evaluate AI agents on expert fluid simulation tasks.
• Take CAD geometry, set up simulations, run simulations.
• Build verified reference solutions and write Python checks for the agent's results.

Conocimientos

CFD experience

Python

English (B2+)

GitHub

Educación

Mechanical or Aerospace Engineering degree

PhD preferred

Herramientas

OpenFOAM

ANSYS Fluent/CFX

STAR-CCM+

Python scripting

GitHub

Descripción del empleo

About The Role

Help train and evaluate AI agents on expert-level fluid simulation tasks. You'll take CAD geometry, set up and run simulations, build verified reference solutions, and write Python checks for the agent's results.

Requirements

• A degree in Mechanical or Aerospace Engineering, or a related field such as energy or oil & gas. A PhD is 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 and validation practice: mesh-independence studies, and validation against experiment or benchmarks
• Comfortable with Python and GitHub
• English at B2 level or above
• Nice to have: aerospace, automotive, offshore or turbomachinery background; multiphase or particle-laden flow experience

Project time expectations

For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Compensation

On this project, contributors can earn up to $31 per hour equivalent, depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Why this freelance opportunity might be a great fit for you?

• Work fully remote on your own schedule with just a laptop and stable internet connection
• Apply your expertise to real-world technology projects while gaining experience building high-quality solutions for a global platform.
• Participate in performance-based bonus programs that reward high-quality work and consistent delivery