Oluwapelumi Adekola Timothy

I am a results-driven Video Data Annotator with extensive experience in labeling, segmenting, and generating high-quality video datasets for artificial intelligence and computer vision models. My expertise spans both traditional video annotation and egocentric (first-person POV) video data collection for embodied AI and robotics applications. I excel at ensuring accuracy and consistency with project guidelines, performing quality assurance, and optimizing processes to deliver reliable training data for machine learning systems. I have a proven track record of recording high-quality first-person POV videos of everyday tasks using head-mounted smartphone setups in real residential environments, generating authentic raw data for computer vision and embodied AI training. Additionally, I've produced diverse egocentric video datasets focused on human-object interaction and hand movements to support downstream video annotation and Vision-Language-Action (VLA) model development. I am adept at labeling and segmenting diverse video datasets to train computer vision models, conducting quality assurance reviews, and contributing to process optimization through analytical feedback and cross-functional collaboration.