CFD Engineer - AI Trainer

Mindrift

France

Remote

EUR 51,000 - 73,000

Full time

3 days ago
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Benefits offered by this job

Fully remote
Flexible schedule
Performance bonuses

Job summary

Mindrift is seeking an experienced CFD engineer to help train and evaluate AI agents on expert-level fluid dynamics tasks. You will take CAD geometry, configure simulations, and run analyses to build robust reference solutions.

Proficiency in Python and GitHub, plus experience with OpenFOAM or other major CFD tools, is essential. English at B2 level or above is required, with extra points for aerospace or turbomachinery background.

Qualifications

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

Responsibilities

  • Train and evaluate AI agents on expert CFD tasks.
  • Set up simulations from CAD geometry and run analyses.
  • Build verified reference solutions and write Python checks.
  • Contribute to project documentation and deliverables.

Skills

Python
CFD
OpenFOAM
Meshing
GitHub
English (B2)

Education

Mechanical or Aerospace Engineering degree
PhD preferred

Tools

ANSYS Fluent/CFX
STAR-CCM+

Job description

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 $50 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
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