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I am a detail-oriented and reliable data annotator with hands-on experience labeling 3D sensor data, including point clouds, to help train AI for self-driving cars. My work has involved accurately marking objects such as cars, pedestrians, cyclists, roads, and signs, supporting computer vision models in understanding real-world environments. I am skilled in using tools like Remotask, Google Suite, Excel, and Google Sheets to organize and manage data efficiently. My background in data entry, administrative tasks, and customer service has strengthened my attention to detail, communication, and organizational skills. I am committed to delivering high-quality results and am always eager to learn new techniques and tools in the field of AI training data.
We label wheeled objects in the scene mainly cars, carts, trash bins (with wheels. We also annotate traffic signs, traffic lights, and poles. It is a 320 frames task.
Bachelor of Public Administration, Public Administration
Bachelor of Secondary Education, General Science
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