CFD Engineer – AI Trainer
Posted 4 days ago
You'll complete your application on Mindrift's career site.
About the Role
This position serves as a conduit for domain specialists to participate in essential artificial intelligence training and assessment initiatives for major international technology organizations. The role involves vetting experts to assist in the creation of premium datasets, the improvement of model logic, and the execution of performance tests through precise simulations. As a Computational Fluid Dynamics Engineer, you will utilize your specialized knowledge to influence AI development by addressing intricate fluid dynamics challenges. You will operate as a freelancer, handling tasks that generally demand 10 to 20 hours of work weekly when projects are active. This flexible arrangement enables you to support high-quality machine learning outcomes from any location.
Requirements
- You should possess a degree in Mechanical or Aerospace Engineering, or a related field like oil and gas or energy; a PhD is highly desired.
- You need multiple years of practical experience in research or industry using CFD software such as STAR-CCM+, ANSYS CFX, ANSYS Fluent, or OpenFOAM, with a strong grasp of meshing.
- You must be adept at verification and validation, specifically in performing mesh-independence analyses and comparing outcomes against experimental data or benchmarks.
- You are required to be proficient in Python and comfortable using GitHub to manage your technical workflows.
- You must maintain a B2 level of English proficiency or better and have access to a reliable internet connection.
- Backgrounds in the automotive, aerospace, turbomachinery, or offshore industries, particularly involving particle-laden or multiphase flow, are considered major assets.
Responsibilities
- You will assess and train AI agents regarding sophisticated fluid simulation problems to confirm they achieve professional-grade results.
- Your core tasks involve preparing CAD geometry, setting up simulation variables, and running these simulations to produce dependable datasets.
- You will create validated reference benchmarks to serve as the ground truth for machine learning purposes.
- You will develop specialized Python scripts to examine and confirm the accuracy and physical soundness of outputs generated by AI agents.
- You are expected to organize your assigned tasks effectively to adhere to deadlines, committing to 10 to 20 hours per week throughout active project periods.
Benefits & Perks
- You can work entirely from a remote location on a flexible schedule using your own computer.
- You will have the opportunity to apply your technical skills to inventive projects and gain experience creating high-caliber solutions for a global AI platform.
- The role includes eligibility for performance-based bonuses based on the consistent delivery of superior work.
Note: This listing is summarized and paraphrased by WorkNow from a publicly posted role. For the original wording and full details, please refer to the employer's official posting.
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