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Shadrack Omondi

Shadrack Omondi

Data Annotator

Kenya flagKisumu, Kenya
$10.00/hrIntermediateLabelbox

Key Skills

Software

LabelboxLabelbox

Top Subject Matter

Computer Vision
Natural Language Processing

Top Data Types

ImageImage

Top Task Types

Bounding BoxBounding Box

Freelancer Overview

Data Annotator. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelbox. Education includes Bachelor of Science, Egerton University (2020). AI-training focus includes data types such as Image and labeling workflows including Bounding Box.

IntermediateEnglish

Labeling Experience

Labelbox

Data Annotator

LabelboxImageBounding Box
As a Data Annotator at Zone 01 in Kisumu, Kenya, I accurately labeled and annotated over 10,000 images, videos, and text entries for use in computer vision and NLP projects. I applied various annotation techniques, including bounding boxes, polygons, semantic segmentation, key points, and classification tags. My responsibilities included collaborating with data science teams and conducting thorough quality assurance on annotated datasets. • Labeled images, videos, and text for AI and machine learning models • Used industry tools such as Labelbox, CVAT, Label Studio, SuperAnnotate, V7, Roboflow, Amazon SageMaker Ground Truth, and Scale AI • Maintained high annotation accuracy and addressed edge cases by refining guidelines • Ensured data consistency and quality while processing high data volumes under tight deadlines.

As a Data Annotator at Zone 01 in Kisumu, Kenya, I accurately labeled and annotated over 10,000 images, videos, and text entries for use in computer vision and NLP projects. I applied various annotation techniques, including bounding boxes, polygons, semantic segmentation, key points, and classification tags. My responsibilities included collaborating with data science teams and conducting thorough quality assurance on annotated datasets. • Labeled images, videos, and text for AI and machine learning models • Used industry tools such as Labelbox, CVAT, Label Studio, SuperAnnotate, V7, Roboflow, Amazon SageMaker Ground Truth, and Scale AI • Maintained high annotation accuracy and addressed edge cases by refining guidelines • Ensured data consistency and quality while processing high data volumes under tight deadlines.

2024 - Present

Education

E

Egerton University

Bachelor of Science, Computer Science

Bachelor of Science
2015 - 2020

Work History

K

Kisumu, Kenya

Data Annotator, Zone 01

Location not specified
2024 - Present