Florence O.

Key Skills

Software

CVAT

Labelbox

Scale AI

Top Subject Matter

Object detection datasets (sports, automotive, retail)

motion blur correction

and object occlusion

Top Data Types

Image

Text

Top Task Types

Bounding Box

Freelancer Overview

Data Annotation Specialist (Independent contractor). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include CVAT, Labelbox, and Scale AI. Education includes a Bachelor of Applied Science, University of Nairobi (2020). AI-training focus includes data types such as Image and Text and labeling workflows including Bounding Box, Evaluation, and Rating.

Labeling Experience

Data Annotation Specialist (Independent contractor)

CVATImageBounding Box

Annotated and validated object detection training datasets by drawing accurate bounding boxes for machine learning pipelines. Worked on challenging visuals including dynamic objects, motion-blur images, occlusion, and ambiguous cases while following project guidelines and protocols. Conducted peer reviews and QA checks to ensure label consistency and accuracy across datasets. • Completed annotation for 5,000+ images monthly on CVAT, Labeling, and Scale AI platforms. • Labeled datasets spanning sports, automotive, and retail industries. • Performed peer review of annotations to maintain data consistency and quality. • Met daily annotation targets and delivered on deadline requirements.

2025 - 2026

Freelance AI Trainer and Data Annotator (Remote)

CVATText

Collected, evaluated, and annotated multimodal data to support AI model training and dataset preparation. Applied labeling standards for text, audio, image, and video content while validating discrepancies to improve data reliability. Used annotation workflows and spreadsheets to maintain consistency with labeling guidelines. • Annotated and tagged diverse datasets across text, audio, image, and video modalities. • Validated data for discrepancies prior to downstream usage. • Used CVAT, Labelbox, Scale AI, and Excel sheets to label datasets. • Supported consistent classification and dataset quality for machine learning pipelines.

2024 - 2025

Education

Work History