Udeh Christ

Annotate and label video content for AI model training datasets, including drawing bounding boxes around faces and vehicle plate numbers. Apply project-specific labelling guidelines consistently while meeting quality and turnaround targets.

Directed 500+ photo and video projects end to end, including retouching, editing and colour grading. Reviewed and sorted large volumes of raw visual material for quality before client delivery.

Transcribed audio and video content in Labelbox with accurate, consistently formatted output for AI model training pipelines. Labelled 18–50 videos and 50–100 images per day while meeting quality and turnaround targets.

Transcribed and labelled image and video data in Labelbox for machine learning training datasets, sustaining a full daily task load. Held accuracy and formatting standards through recurring deadlines and high task volumes.

Reviewed, categorised and distributed high volumes of content and updates with consistent tone and formatting. Resolved user-reported issues promptly and by the guidelines, acting as liaison between the product and its community.

Moderated user-generated content across platforms for guideline compliance, a high-volume review workflow comparable to annotation QA. Monitored for policy violations and escalated and resolved disputes quickly and consistently.

Edited and enhanced photographs and video assets for commercial use, keeping colour and quality consistent frame by frame. Managed several concurrent projects against tight deadlines without losing precision.

Pursuing a Bachelor of Science in Pure and Industrial Chemistry, with an expected graduation in 2026.