Freelance Mechanical CFD Engineer - AI Trainer

Mindrift; Chile; A distancia; CLP 15.692.000 - 22.349.000; A tiempo parcial

Ventajas ofrecidas por este puesto de trabajo

Fully remote work

Performance-based bonuses

Flexible schedule

Descripción de la vacante

Mindrift seeks a CFD-focused engineer to train and evaluate AI agents on advanced fluid simulations. You will take CAD geometry, set up and run simulations, and develop verified reference solutions with Python-based checks.

Experience in CFD with OpenFOAM, Fluent/CFX or STAR-CCM+ is essential, as is proficiency in Python and GitHub. The role is remote and project-based, with performance-based bonuses and flexible hours.

Formación

• A degree in Mechanical or Aerospace Engineering or related field.
• Several years of CFD experience with OpenFOAM, Fluent/CFX or STAR-CCM+, including meshing.
• Solid verification/validation practices: mesh-independence studies and benchmark validation.
• Proficiency with Python and GitHub workflows.
• English at B2 level or higher.

Responsabilidades

• Train and evaluate AI agents on expert-level fluid simulation tasks.
• Set up simulations from CAD geometry and run simulations.
• Build verified reference solutions and write Python checks for agent results.
• Contribute to project delivery and documentation.

Conocimientos

CFD simulations

Python

GitHub

Educación

Mechanical or Aerospace Engineering degree

PhD preferred

Herramientas

OpenFOAM

ANSYS Fluent/CFX

STAR-CCM+

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 $14 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