Wood AI Quality Lead: Defects & Data Feedback
Neural Grader
Neural Grader is seeking a professional with a strong forestry background to work on AI for automated wood defect detection. The role involves improving AI model quality by investigating customer cases and collaborating with technical teams. The ideal candidate possesses strong knowledge in wood science, attention to detail, and excellent communication skills. The position is critical to enhancing the quality loop from customer feedback to validated models. #J-18808-Ljbffr Neural Grader
Vacancy posted 3 days ago
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