Oprah J.
Junior Data Annotation Specialist
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About
Oprah J. is a dedicated and skilled Data Annotator with comprehensive training from DataLens Africa. She excels in annotating and labeling diverse data types, including text, images, audio, and video, using techniques such as Named Entity Recognition (NER), bounding box, polygon segmentation, semantic segmentation, and instance segmentation. Her work supports machine learning and AI development by ensuring the delivery of high-quality, accurate datasets. Oprah has completed extensive training and has applied her skills in real-world annotation tasks, contributing to projects that involve image annotation, speech transcription, and video annotation. She is recognized for her strong organizational skills, attention to detail, and ability to produce high-quality outputs while adhering to project guidelines.
Experience
Data Annotator
DataLens AfricaExecuted Named Entity Recognition (NER) tasks on text datasets, accurately identifying and labeling key entities. Completed image annotation using bounding boxes and polygon segmentation techniques. Conducted semantic and instance segmentation tasks for various image datasets. Transcribed audio files into precise text for speech recognition datasets. Engaged in video annotation work, labeling objects and activities on a frame-by-frame basis. Maintained high-quality output by carefully reviewing work and following project guidelines.
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