Oscar Muriira

Key Skills

Software

Labelbox

CVAT

Supervisely

Top Subject Matter

General AI/ML Training Data

Top Data Types

Image

Video

Audio

Top Task Types

Bounding Box

Segmentation

Classification

Object Detection

Tracking

Freelancer Overview

AI Training Specialist / Data Annotator (Freelance / Remote). Core strengths include Labelbox, YOLO, and CVAT. Education includes Bachelor of Science, University of Nairobi (2023) and Kenya Certificate of Secondary Education, Alliance High School (2018). AI-training focus includes data types such as Image, Video, and Audio and labeling workflows including Bounding Box, Segmentation, and Classification.

Labeling Experience

AI Data Labeling & Annotation Project (Computer Vision & Audio)

ImageBounding Box

Project Description Worked as an AI Training Specialist on multiple data labeling and annotation projects involving image, video, and audio datasets. Responsibilities included annotating objects using bounding boxes, semantic segmentation, and classification techniques to support computer vision models. Performed video annotation tasks such as object tracking and frame-by-frame labeling to ensure temporal consistency. Additionally, handled audio data by transcribing and labeling speech to improve speech recognition systems. Maintained high accuracy and consistency by strictly following annotation guidelines and conducting quality checks on completed tasks. Worked on large-scale datasets, ensuring timely delivery while meeting project-specific quality standards. Utilized tools such as Labelbox, CVAT, and YOLO-based workflows to complete tasks efficiently.

Project Description Worked as an AI Training Specialist on multiple data labeling and annotation projects involving image, video, and audio datasets. Responsibilities included annotating objects using bounding boxes, semantic segmentation, and classification techniques to support computer vision models. Performed video annotation tasks such as object tracking and frame-by-frame labeling to ensure temporal consistency. Additionally, handled audio data by transcribing and labeling speech to improve speech recognition systems. Maintained high accuracy and consistency by strictly following annotation guidelines and conducting quality checks on completed tasks. Worked on large-scale datasets, ensuring timely delivery while meeting project-specific quality standards. Utilized tools such as Labelbox, CVAT, and YOLO-based workflows to complete tasks efficiently.

2022 - Present

AI Training Specialist / Data Annotator (Freelance / Remote)

LabelboxImageBounding Box

Project Description Worked on video data annotation projects to support computer vision models. Responsible for labeling and annotating objects across video frames using bounding boxes and segmentation techniques. Performed multi-object tracking by consistently identifying and following objects frame-by-frame to ensure temporal accuracy. Handled tasks such as object detection, motion tracking, and activity recognition in dynamic scenes. Maintained high-quality standards by following detailed annotation guidelines and conducting regular quality checks to ensure accuracy and consistency across large video datasets. Used tools such as Labelbox and CVAT to efficiently manage and complete annotation tasks within deadlines.

Project Description Worked on video data annotation projects to support computer vision models. Responsible for labeling and annotating objects across video frames using bounding boxes and segmentation techniques. Performed multi-object tracking by consistently identifying and following objects frame-by-frame to ensure temporal accuracy. Handled tasks such as object detection, motion tracking, and activity recognition in dynamic scenes. Maintained high-quality standards by following detailed annotation guidelines and conducting regular quality checks to ensure accuracy and consistency across large video datasets. Used tools such as Labelbox and CVAT to efficiently manage and complete annotation tasks within deadlines.

2022 - Present

AI Data Labeling & Annotation Project (Computer Vision & Audio)

VideoSegmentation

Project Description Worked as an AI Training Specialist on multiple data labeling and annotation projects involving image, video, and audio datasets. Responsibilities included annotating objects using bounding boxes, semantic segmentation, and classification techniques to support computer vision models. Performed video annotation tasks such as object tracking and frame-by-frame labeling to ensure temporal consistency. Additionally, handled audio data by transcribing and labeling speech to improve speech recognition systems. Maintained high accuracy and consistency by strictly following annotation guidelines and conducting quality checks on completed tasks. Worked on large-scale datasets, ensuring timely delivery while meeting project-specific quality standards. Utilized tools such as Labelbox, CVAT, and YOLO-based workflows to complete tasks efficiently.

Project Description Worked as an AI Training Specialist on multiple data labeling and annotation projects involving image, video, and audio datasets. Responsibilities included annotating objects using bounding boxes, semantic segmentation, and classification techniques to support computer vision models. Performed video annotation tasks such as object tracking and frame-by-frame labeling to ensure temporal consistency. Additionally, handled audio data by transcribing and labeling speech to improve speech recognition systems. Maintained high accuracy and consistency by strictly following annotation guidelines and conducting quality checks on completed tasks. Worked on large-scale datasets, ensuring timely delivery while meeting project-specific quality standards. Utilized tools such as Labelbox, CVAT, and YOLO-based workflows to complete tasks efficiently.

2022 - 2022

Education

Work History