Hellon Kibet

Key Skills

Software

CVAT

Toloka

Top Subject Matter

Machine Learning and Computer Vision

Computer Vision

Natural Language Processing and Chatbot Training

Top Data Types

Image

Text

Document

Top Task Types

Bounding Box

Entity Ner Classification

Freelancer Overview

Data Annotation Specialist - Freelance / Remote. Brings 3+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include CVAT, N, and A. Education includes Bachelor of Science, Karatina University (2022). AI-training focus includes data types such as Image and Text and labeling workflows including Bounding Box, Entity (NER) Classification, and Evaluation.

Labeling Experience

Data Annotation Specialist - Freelance / Remote

CVATImageBounding Box

As a freelance Data Annotation Specialist, I labeled and categorized over 50,000 images and text entries for various ML datasets. My work emphasized tasks such as bounding box, polygon, and semantic segmentation annotation with stringent quality control. I managed and prepared datasets in standard formats for seamless AI model integration. • Labeled diverse images and text data for machine learning applications. • Conducted bounding box, polygon, and semantic segmentation tasks. • Maintained annotation accuracy above 99%. • Prepared datasets in CSV/JSON formats for ingestion.

As a freelance Data Annotation Specialist, I labeled and categorized over 50,000 images and text entries for various ML datasets. My work emphasized tasks such as bounding box, polygon, and semantic segmentation annotation with stringent quality control. I managed and prepared datasets in standard formats for seamless AI model integration. • Labeled diverse images and text data for machine learning applications. • Conducted bounding box, polygon, and semantic segmentation tasks. • Maintained annotation accuracy above 99%. • Prepared datasets in CSV/JSON formats for ingestion.

2025 - Present

Quality Assurance Annotator

TolokaText

As a Quality Assurance Annotator at Appen/Toloka, I reviewed NLP and speech recognition datasets to ensure accurate annotations. My role included correcting errors and documenting labeling guidelines to raise team efficiency. I contributed to standardized processes for large-scale AI annotation projects. • Evaluated and corrected labeled datasets for NLP and speech recognition. • Enhanced workflow efficiency through error analysis. • Developed comprehensive labeling and QA documentation. • Standardized annotation processes for quality assurance.

As a Quality Assurance Annotator at Appen/Toloka, I reviewed NLP and speech recognition datasets to ensure accurate annotations. My role included correcting errors and documenting labeling guidelines to raise team efficiency. I contributed to standardized processes for large-scale AI annotation projects. • Evaluated and corrected labeled datasets for NLP and speech recognition. • Enhanced workflow efficiency through error analysis. • Developed comprehensive labeling and QA documentation. • Standardized annotation processes for quality assurance.

2024 - 2024

NLP Text Annotation for Chatbot Training

TextEntity Ner Classification

For a chatbot training initiative, I labeled more than 15,000 sentences with intent and entity tags to support natural language processing tasks. I validated and reviewed labeling accuracy, consistently achieving over 98% agreement with quality standards. My contributions facilitated the development of consistent, high-performing NLP chatbots. • Labeled text data for intent and entity identification. • Reviewed and validated labeled data for chatbot training. • Achieved high-quality consistency above 98%. • Supported NLP model improvement efforts.

For a chatbot training initiative, I labeled more than 15,000 sentences with intent and entity tags to support natural language processing tasks. I validated and reviewed labeling accuracy, consistently achieving over 98% agreement with quality standards. My contributions facilitated the development of consistent, high-performing NLP chatbots. • Labeled text data for intent and entity identification. • Reviewed and validated labeled data for chatbot training. • Achieved high-quality consistency above 98%. • Supported NLP model improvement efforts.

Not specified

AI Image Classification Dataset Preparation

CVATImageBounding Box

I supported an AI image classification project by annotating over 10,000 images, ensuring data quality for computer vision workflows. Using CVAT, I applied bounding boxes and semantic segmentation consistently across the dataset. These efforts ensured compliance with ML model requirements and efficient project completion. • Annotated images for classification and object detection. • Created bounding boxes and semantic segmentation masks. • Ensured datasets met machine learning quality standards. • Used CVAT for streamlined annotation workflows.

I supported an AI image classification project by annotating over 10,000 images, ensuring data quality for computer vision workflows. Using CVAT, I applied bounding boxes and semantic segmentation consistently across the dataset. These efforts ensured compliance with ML model requirements and efficient project completion. • Annotated images for classification and object detection. • Created bounding boxes and semantic segmentation masks. • Ensured datasets met machine learning quality standards. • Used CVAT for streamlined annotation workflows.

Not specified

Education

Work History