Olabisi Adewumi

Label, track, and segment high-volume video datasets to train computer vision models for autonomous systems and robotic perception. Perform frame-by-frame object tracking and motion analysis.

Apply third-party safety rubrics to identify and flag NSFW content and safety policy violations in model outputs. Evaluate side-by-side AI generated images against prompts, rating prompt fidelity and visual quality.

Perform regular quality assurance audits to ensure adherence to established standards and regulatory compliance. Develop and maintain quality standards and procedures in collaboration with cross-functional teams.

Labeled and annotated large datasets (images, videos, texts) for machine learning and AI model training. Processed egocentric video footage, performed 2D/3D bounding box and spatial-temporal segmentation, and identified edge cases.

Conducted side-by-side comparative analysis of dual AI model outputs, evaluating factuality, instruction following, relevance, and comprehensiveness. Verified factual assertions and authored evidence-based technical justifications.

Applied 2D bounding boxes around target retail and commercial products, ensuring pixel-tight boundaries for computer vision models. Authored detailed image descriptions and metadata tags, and performed quality assurance reviews.

Managed meticulous tagging of data using named entity recognition, sentiment analysis, part-of-speech tagging, and text classification for LLM training. Performed body anatomy filtering, skin tone classification, semantic segmentation, and audio annotation.

Managed the collection of payments from patients for medical services. Maintained accurate records of all services provided and ensured reconciliation of payments with services rendered.

Grade: Second Class Honours

Bachelor of Science in Botany with Second Class Honours.

Completed West African Senior School Certificate Examination (WASSCE).