Elias Kipkosgei

Key Skills

Software

Labelbox

CVAT

Supervisely

Top Subject Matter

Computer Vision

Natural Language Processing

data annotation and image labelling

Top Data Types

Image

Video

Text

Top Task Types

Bounding Box

Segmentation

Entity Ner Classification

Freelancer Overview

Data Annotation Intern / Freelancer. Core strengths include Labelbox, CVAT, and Supervisely. Education includes Diploma in Information Communication Technology, Ziwa Technical Training Institute (2023) and Kenya Certificate of Secondary Education, AIC Moi Boys High School, Kaplamai, Kitale (2022). AI-training focus includes data types such as Image, Video, and Text and labeling workflows including Bounding Box, Segmentation, and Entity (NER) Classification.

Labeling Experience

Data Annotation Intern / Freelancer

LabelboxTextEntity Ner Classification

Text annotation projects involved classifying key entities and terms within datasets for AI training. I ensured the accuracy of labeled entities through systematic review and compliance with annotation guidelines. My efforts supported the development of NLP models requiring high-quality labeled text. • Identified and labeled relevant entities in text datasets. • Utilized Labelbox, CVAT, and Supervisely for text annotation tasks. • Focused on quality and high annotation accuracy. • Coordinated with remote teams to meet annotation deadlines.

Text annotation projects involved classifying key entities and terms within datasets for AI training. I ensured the accuracy of labeled entities through systematic review and compliance with annotation guidelines. My efforts supported the development of NLP models requiring high-quality labeled text. • Identified and labeled relevant entities in text datasets. • Utilized Labelbox, CVAT, and Supervisely for text annotation tasks. • Focused on quality and high annotation accuracy. • Coordinated with remote teams to meet annotation deadlines.

2024 - Present

Data Annotation Intern / Freelancer

LabelboxVideoSegmentation

I performed video data annotation to facilitate training models for object detection and tracking. My responsibilities included segmenting objects and applying masks to video frames. Careful annotation ensured that dynamic objects in videos were accurately annotated for computer vision models. • Annotated video frames using segmentation and masking tools. • Used Labelbox, CVAT, and Supervisely for video annotation. • Achieved high consistency and reliability across video data projects. • Supported quality checks and maintained high annotation standards.

I performed video data annotation to facilitate training models for object detection and tracking. My responsibilities included segmenting objects and applying masks to video frames. Careful annotation ensured that dynamic objects in videos were accurately annotated for computer vision models. • Annotated video frames using segmentation and masking tools. • Used Labelbox, CVAT, and Supervisely for video annotation. • Achieved high consistency and reliability across video data projects. • Supported quality checks and maintained high annotation standards.

2024 - Present

Data Annotation Intern / Freelancer

LabelboxImageBounding Box

As a Data Annotation Intern and Freelancer, I labeled images, text, and video data for AI and computer vision tasks. Image annotation involved creating bounding boxes, polygons, and segmentation masks to identify key visual elements. I maintained high quality by performing careful quality checks and adhering to accuracy standards. • Used Labelbox, CVAT, and Supervisely for all annotation projects. • Consistently met deadlines in a remote setting. • Helped improve dataset quality and annotation consistency above 98% accuracy. • Worked on annotations for diverse computer vision data types.

As a Data Annotation Intern and Freelancer, I labeled images, text, and video data for AI and computer vision tasks. Image annotation involved creating bounding boxes, polygons, and segmentation masks to identify key visual elements. I maintained high quality by performing careful quality checks and adhering to accuracy standards. • Used Labelbox, CVAT, and Supervisely for all annotation projects. • Consistently met deadlines in a remote setting. • Helped improve dataset quality and annotation consistency above 98% accuracy. • Worked on annotations for diverse computer vision data types.

2024 - Present

Education

Work History