Lewis G.

Key Skills

Software

CVAT

Labelbox

Appen

Remotasks

Top Subject Matter

Computer vision

football/soccer sports analytics

sports event tagging

Top Data Types

Video

Image

Text

Document

Top Task Types

Tracking

Classification

Object Detection

Freelancer Overview

Senior Data Labeller & Annotation Specialist — DataAnnotation Technologies (Remote). Brings 10+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include CVAT, Labelbox, and Appen. Education includes Master of Science, Strathmore University (2021) and Bachelor of Science, University of Nairobi (2017). AI-training focus includes data types such as Video and Image and labeling workflows including Tracking, Classification, and Object Detection.

Labeling Experience

Senior Data Labeller & Annotation Specialist — DataAnnotation Technologies (Remote)

CVATVideoTracking

Led high-accuracy image and video annotation projects for computer vision model training datasets using CVAT and Labelbox. Produced bounding box, polygon, semantic segmentation, and keypoint annotations while supporting football/soccer analytics with event and motion labeling. Maintained an annotation accuracy rate of 98%+ while conducting QA audits across projects. • Labeled player tracking, ball movement, passes, tackles, fouls, and game events. • Applied bounding boxes, polygons, semantic segmentation, and keypoints for frame-level training. • Reviewed annotations for quality and provided correction feedback to teammates. • Supported scalable monthly annotation throughput across 50,000+ images.

2022 - Present

Data Annotation Specialist – Sports & Video — Appen Limited (Remote)

AppenVideoClassification

Delivered large-scale video annotation for autonomous vehicle and sports analytics clients using bounding boxes and polygon labeling. Labeled football match footage with event tags and player tracking coordinates to support AI training pipelines. Completed complementary text annotation work including named entity recognition, sentiment labeling, and intent classification. • Annotated goals, corners, free kicks, and offside event tags plus player tracking coordinates. • Used bounding box and polygon tools for sports and vehicle-related footage. • Performed NER, sentiment labeling, and intent classification for text datasets. • Trained junior annotators on annotation guidelines, tools, and best practices.

2020 - 2021

Image & Video Data Labeller — Remotasks (Scale AI Partner) (Remote)

RemotasksImageObject Detection

Annotated thousands of images daily for object detection models using bounding boxes and polygon tools plus classification labels. Supported video annotation projects covering pedestrian detection, vehicle tracking, and sports player movement. Achieved top-tier annotator status with consistent quality scores above 97% across assigned projects. • Labeled objects using bounding boxes, polygons, and classification tags. • Contributed to video datasets for pedestrian detection and vehicle tracking. • Annotated sports player movement for sports-focused training data. • Used Labelbox for dataset management, task workflow, and annotation delivery.

2019 - 2020

Education

Work History