Data Annotation
Annotated and segmented geospatial imagery for AI training by labeling roads, buildings, vegetation, and other land features while ensuring high accuracy and consistency.
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Data Annotation Intern – 3D Data Labeling. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Science, University of Ibadan (2022) and Senior School Leaving Certificate, Baptist Boys’ High School, Abeokuta (2017). AI-training focus includes data types such as 3D Sensor, Audio, and Text and labeling workflows including Cuboid, Transcription, and Entity (NER) Classification.
Annotated and segmented geospatial imagery for AI training by labeling roads, buildings, vegetation, and other land features while ensuring high accuracy and consistency.
As part of my annotation experience, I labeled text datasets to advance natural language processing algorithms. Responsibilities consisted of classifying entities and performing entity recognition within textual data. I supported AI development by ensuring labeled datasets were accurate and robust. • Classified entities in English-language text corpora for NLP models. • Utilized annotation tools to highlight and categorize text entities. • Assisted with the review and quality assurance of labeled data. • Contributed to improvements in language model training quality.
In my data annotation internship, I annotated and transcribed audio data to enhance speech recognition accuracy. Tasks included listening to audio streams and providing high-fidelity transcriptions for model consumption. My efforts directly improved the reliability of AI-powered speech recognition. • Produced detailed transcriptions of diverse audio samples. • Identified and corrected labeling inconsistencies within speech data. • Evaluated transcription accuracy across multiple audio sources. • Worked under deadlines to supply timely and accurate audio data.
As a Data Annotation Intern at Otaku Hugo Technologies, I performed precise 3D data annotation tasks to support computer vision projects. My work involved interpreting 3D sensor data and applying cuboid labels to classify objects accurately. I ensured data annotations met quality standards and contributed directly to machine learning model improvement. • Annotated complex 3D sensor datasets for emerging AI solutions. • Collaborated with data scientists to uphold annotation consistency. • Applied advanced labeling techniques for object detection in 3D space. • Assisted in verifying and validating training data for model development.
Bachelor of Science, English Language Education
Senior School Leaving Certificate, General Secondary Education
Data Annotaor Agent