AI Engineer (Data Labeling Lead for Vision Datasets)
ImageSegmentation
Developed and implemented semi-supervised data labeling workflows for large-scale computer vision datasets exceeding 100,000 images. Used automated labeling pipelines followed by human review to maximize annotation quality and efficiency. Achieved a high annotation accuracy rate, while significantly reducing manual labeling costs for the company.
• Led the design of labeling strategies combining automation and human-in-the-loop review.
• Focused on segmentation and annotation of images for vision models.
• Leveraged internal/proprietary tooling for streamlined workflow.
• Collaborated with data scientists and engineers to optimize processes.
Developed and implemented semi-supervised data labeling workflows for large-scale computer vision datasets exceeding 100,000 images. Used automated labeling pipelines followed by human review to maximize annotation quality and efficiency. Achieved a high annotation accuracy rate, while significantly reducing manual labeling costs for the company. • Led the design of labeling strategies combining automation and human-in-the-loop review. • Focused on segmentation and annotation of images for vision models. • Leveraged internal/proprietary tooling for streamlined workflow. • Collaborated with data scientists and engineers to optimize processes.
2023 - Present