Tomori Temitope

Certified Computer Vision & Video Annotation Specialist with a proven track record of labeling multi-frame video datasets and maintaining high-precision quality for machine learning models. Expert in executing complex annotation taxonomies—including spatial bounding boxes and semantic segmentation—with a verified accuracy rate exceeding 98.5%. Self-motivated remote operator adept at handling asynchronous communication, strict QA standards, and high-speed remote workflow execution.

Computer Vision Data Annotation Specialist - Telus International

(2026-04)

• I utilized Atlas capture software and proprietary annotation suites to execute high-precision spatial and temporal annotations across large-scale video streams for computer vision model training while maintaining strict adherence to complex project taxonomies.
• I successfully labeled, tracked, and categorized both static and dynamic entities across sequential video frames using advanced techniques such as bounding boxes, polygons, and keypoint tracking to ensure seamless temporal consistency for machine learning applications.
• I achieved and maintained a consistent annotation accuracy score of over 98.5% by performing rigorous self-audits and systematic quality checks against established guidelines, significantly reducing the need for downstream data revision and model retraining.
• I identified and documented complex visual data anomalies, occlusions, and edge-cases, providing actionable feedback to team leads that directly improved model edge-case detection capabilities and refined overall project annotation guidelines.
• I meticulously verified frame rate consistency, visual resolution standards, and metadata integrity for diverse datasets, ensuring that 100% of the ingested data met the high-quality requirements of the model training pipeline.

Bachelor's Program - Physiotherapy / Health Sciences - Federal University of Health Sciences, Ila-Orangun (FUHSI) (2026)

Senior Secondary School Certificate (SSCE) - International School University of Lagos (ISL UNILAG) (2018 - 2024)