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Freelance Mechanical CFD Engineer - AI Trainer

Role overview

Qualifications

  • A degree in Mechanical or Aerospace Engineering or related field
  • Several years of industry or research CFD with OpenFOAM, ANSYS Fluent/CFX or STAR-CCM+
  • Solid verification and validation practice
  • Comfortable with Python and GitHub

Responsibilities

  • Help train and evaluate AI agents on fluid simulation tasks
  • Take CAD geometry and set up simulations
  • Build verified reference solutions
  • Write Python checks for agent's results

Hard skills

Other skills

  • Problem Solving
  • Teamwork

About the company

Mindrift logo

Mindrift

Job Boards & Talent Marketplaces

Welcome to Mindrift — a space where innovation meets opportunity. We’re a pioneering platform dedicated to advancing the field of artificial intelligence through collaborative online projects. Our focus lies in creating data for generative AI, offering a unique chance for freelancers to contribute to AI development from anywhere, at any time. At Mindrift, we believe in the power of collective intelligence to shape the future of AI. Our platform allows users to dive into a variety of tasks — ranging from creating training prompts for AI models to refining AI responses for greater relevance. Let’s build the future of AI together, one task at a time.

Company details

Company typeSME
IndustryJob Boards & Talent Marketplaces
Company size501 - 1000

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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 $9 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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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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