AI Agent Training & Evaluation Specialist (Fluid Simulation Expert)
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Job Description
Key Skills Required
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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.
Why This Opportunity Might Be a Great Fit
- 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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Mindrift
View Company ProfileMindrift is an AI training platform dedicated to advancing Generative AI by connecting subject matter experts and writers with data generation projects. Powered by Toloka, the platform enables freelance 'AI Tutors' to create high-quality text used to train and refine cutting-edge Large Language Models (LLMs). With a global community covering over 20 languages and 90 knowledge domains, Mindrift focuses on improving the accuracy and reliability of AI technology.
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