CFD Engineer - AI Trainer

Mindrift

Lorida (FL)

Remote

USD 78,000 - 112,000

Part time

5 days ago
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Job summary

Mindrift seeks a specialized CFD engineer to train and evaluate AI agents on fluid simulations. You will set up complex simulations from CAD data, generate verified references, and craft Python checks to validate agent results.

You’ll contribute to a remote, project-based workflow with flexible hours, supporting multiple CFD platforms and meshing workflows. Strong English communication and GitHub collaboration are essential.

Qualifications

  • Advanced CFD experience with OpenFOAM, Fluent/CFX, or STAR-CCM+ and meshing.
  • Degree in Mechanical or Aerospace Engineering; PhD preferred but not required.
  • Strong verification and validation skills, including mesh-independence studies.
  • Proficient in Python and GitHub; good English (B2+).
  • Nice to have: aerospace, automotive, offshore or turbomachinery background; multiphase flow experience.

Responsibilities

  • Help 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 for the agent's results.
  • Collaborate with project teams and adhere to schedules.

Skills

CFD expertise
Meshing
Python scripting
GitHub

Education

Bachelor's or higher in Mechanical/Aerospace Engineering
PhD preferred

Tools

OpenFOAM
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 $69 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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