CFD Engineer - AI Trainer

Mindrift

Berlin

Remote

EUR 37,000 - 62,000

Part time

48 hours ago
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Benefits offered by this job

Performance-based bonus

Job summary

Mindrift is seeking a freelance CFD specialist to train and evaluate AI agents on expert-level fluid simulations. You will take CAD geometry, set up and run simulations, build verified reference solutions, and write Python checks for the agent's results.

This fully remote role offers flexible hours (about 10–20 per week during active phases) and performance-based bonuses, with compensation up to $50 per hour depending on experience and pace.

Qualifications

  • A degree in Mechanical or Aerospace Engineering; 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.

Responsibilities

  • Train and evaluate AI agents on expert-level fluid simulation tasks.
  • Take CAD geometry, set up simulations, run simulations, and build verified reference solutions.
  • Write Python checks for the agent's results.
  • Contribute to performance-based bonus programs by delivering high-quality work.

Skills

Python programming
CFD experience
OpenFOAM
ANSYS Fluent/CFX
STAR-CCM+
Meshing
Verification & Validation
GitHub
English proficiency (B2)

Education

Mechanical or Aerospace Engineering degree
PhD preferred
Related fields (energy/oil & gas)

Tools

OpenFOAM
ANSYS Fluent/CFX
STAR-CCM+
GitHub

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.

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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