Boniface Omanwa

Key Skills

Software

Labelbox

Top Subject Matter

Computer Vision

Speech Recognition

Nlp Domain Expertise

Top Data Types

Image

Text

Top Task Types

Bounding Box

Entity Ner Classification

Freelancer Overview

Data Annotation Specialist. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelbox. Education includes Bachelor of Science, University of Nairobi (2022) and Certificate, Data Annotation Institute (2022). AI-training focus includes data types such as Image and Text and labeling workflows including Bounding Box and Entity (NER) Classification.

Labeling Experience

Data Annotation Specialist

LabelboxImageBounding Box

As a Data Annotation Specialist at CloudCrowd, I annotated and labeled data for various machine learning models involving computer vision, NLP, and speech recognition. My primary responsibility was to ensure data quality met the rigorous standards required for optimal AI and ML outcomes. I collaborated with data scientists and engineers to establish annotation guidelines and standards tailored to project needs. • Utilized Labelbox, Hugging Face, and Google Cloud Data Labeling software. • Labeled over 100,000 data points primarily for computer vision models, improving accuracy by 25%. • Developed annotation guides for speech recognition models, reducing annotation time by 30%. • Focused on accuracy, efficiency, and collaboration with technical teams.

As a Data Annotation Specialist at CloudCrowd, I annotated and labeled data for various machine learning models involving computer vision, NLP, and speech recognition. My primary responsibility was to ensure data quality met the rigorous standards required for optimal AI and ML outcomes. I collaborated with data scientists and engineers to establish annotation guidelines and standards tailored to project needs. • Utilized Labelbox, Hugging Face, and Google Cloud Data Labeling software. • Labeled over 100,000 data points primarily for computer vision models, improving accuracy by 25%. • Developed annotation guides for speech recognition models, reducing annotation time by 30%. • Focused on accuracy, efficiency, and collaboration with technical teams.

2022 - Present

Junior Data Annotation Specialist

LabelboxTextEntity Ner Classification

As a Junior Data Annotation Specialist at DataPlus, I assisted in annotating and labeling data for various machine learning models in NLP and computer vision applications. My responsibilities included learning and implementing annotation guidelines and collaborating with senior specialists on workflow improvements. I contributed to workflows that enhanced annotation efficiency and model performance. • Used annotation tools such as Labelbox and Hugging Face. • Labeled over 50,000 data points for NLP models, resulting in a 20% model accuracy increase. • Developed data annotation workflows for computer vision models, reducing annotation time by 25%. • Focused on workflow development, annotation quality, and teamwork.

As a Junior Data Annotation Specialist at DataPlus, I assisted in annotating and labeling data for various machine learning models in NLP and computer vision applications. My responsibilities included learning and implementing annotation guidelines and collaborating with senior specialists on workflow improvements. I contributed to workflows that enhanced annotation efficiency and model performance. • Used annotation tools such as Labelbox and Hugging Face. • Labeled over 50,000 data points for NLP models, resulting in a 20% model accuracy increase. • Developed data annotation workflows for computer vision models, reducing annotation time by 25%. • Focused on workflow development, annotation quality, and teamwork.

2022 - 2022

Education

Work History