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Scale AI
Snorkel AI
Remotasks
Labelbox
MindriftNo subject matter listed
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DocumentOver five years of experience in AI training data and data labeling, working on large-scale projects for machine learning and computer vision applications. Hands-on expertise in image, video, text, and 3D point cloud annotation, including tasks supporting autonomous driving and advanced AI systems. Strong background with data labeling platforms and tools such as Remotasks, consistently meeting accuracy, quality, and turnaround targets. Proven experience in quality assurance, edge-case identification, and guideline interpretation, ensuring high consistency across complex datasets. Demonstrated ability to adapt quickly to new annotation schemas and project requirements, delivering reliable, high-quality outputs under tight deadlines.
validating annotations, resolving edge cases, and providing feedback to improve guideline clarity and overall data accuracy.
focused on bounding boxes, polygons, and semantic segmentation for object detection, tracking, and scene understanding models.
Autonomous driving 3D annotation projects involving LiDAR point cloud labeling for vehicles, pedestrians, cyclists, traffic signs, and lane boundaries to support perception models for self-driving systems.
including intent classification, sentiment tagging, entity recognition, and content categorization to improve language model performance.
including intent classification, sentiment tagging, entity recognition, and content categorization to improve language model performance.
Bachelor of Science, Actuarial Science
Master of Science, Financial Engineering
CONSULTANT
AI Training Data Specialist
