Web research/web scraping/Data collection
Doing web research and filling in the data collected. Arranging the data collected in the right format and making sure the data given is up to date.
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I have great experience in data labeling and AI training data preparation, with a focus on delivering high-quality, scalable annotations across domains such as computer vision, and autonomous vehicle systems. My background includes managing large datasets involving image classification, object detection, video annotation, semantic segmentation, and text tagging. I’m proficient with tools like, Labelbox, and hasty, and have contributed to training data for models in autonomous driving, retail analytics, and conversational AI. What sets me apart is a strong understanding of both annotation workflows and AI model requirements, allowing me to bridge the gap between raw data and model-ready datasets. I ensure accuracy through quality control processes, work closely with data science teams on schema design to deliver consistent, high-quality results under tight deadlines. My ability to interpret complex guidelines, apply domain knowledge, and optimize labeling efficiency makes me a valuable asset to any AI training data operation
Doing web research and filling in the data collected. Arranging the data collected in the right format and making sure the data given is up to date.
Drawing polygon around images and labeling them per the tag given
Drawing bounding boxes on cars and tracking them per frame until they are no longer visible on the radar. Labeling the attributes of the vehicle e.g. If the brake lights are on or off, if the headlights are on or off
Diploma, Quantity Survey
Certificate of Secondary Education, Secondary Education
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