Anthony Onsare

Key Skills

Software

Img Lab

CVAT

Labelbox

Top Subject Matter

Object Detection and Classification

Speech & Audio Processing – Transcription & Voice Recognition

Machine Learning – Data Annotation & Model Training

Top Data Types

Image

Video

Audio

Top Task Types

Bounding Box

Freelancer Overview

AI Training Specialist / Data Annotator. Core strengths include Labelbox. Education includes Bachelor's Degree, Mount Kenya University (2021) and Kenya Certificate of Secondary Education, Kanyawanga Secondary School (2020). AI-training focus includes data types such as Image and labeling workflows including Bounding Box.

Labeling Experience

AI Training Specialist / Data Annotator

LabelboxImageBounding Box

As an AI Training Specialist, I annotated diverse image, video, and audio datasets for machine learning model training. My tasks included object detection, classification, segmentation, and object tracking using leading industry tools. Rigorous quality assurance was maintained to ensure high accuracy and consistency in all labeling projects. • Labeled and classified images, videos, and audio data using Labelbox, CVAT, and YOLO. • Conducted object detection, segmentation, and classification on image and video datasets. • Performed object tracking across multiple video frames for annotation consistency. • Implemented QA checks to deliver precise, reliable training data.

As an AI Training Specialist, I annotated diverse image, video, and audio datasets for machine learning model training. My tasks included object detection, classification, segmentation, and object tracking using leading industry tools. Rigorous quality assurance was maintained to ensure high accuracy and consistency in all labeling projects. • Labeled and classified images, videos, and audio data using Labelbox, CVAT, and YOLO. • Conducted object detection, segmentation, and classification on image and video datasets. • Performed object tracking across multiple video frames for annotation consistency. • Implemented QA checks to deliver precise, reliable training data.

2023 - Present

AI Data Annotation & Object Tracking for Computer Vision Models

AudioBounding Box

Worked on AI training datasets focused on audio annotation and speech data processing. Tasks included transcription, speech-to-text alignment, speaker identification, and audio classification across diverse datasets such as conversations, interviews, and environmental sounds. Annotated and processed over 20,000+ audio clips, ensuring high accuracy and consistency by following strict annotation guidelines. Performed noise identification, segmentation of audio into meaningful timestamps, and labeling of speech patterns, accents, and background sounds. Maintained quality standards above 95% accuracy through continuous review and validation processes. Utilized tools such as Audacity and other audio labeling platforms to edit, segment, and annotate recordings efficiently. Handled complex audio scenarios including overlapping speech, low-quality recordings, and multilingual content. Collaborated with distributed teams to improve dataset quality for AI models used in speech recognition and natural language processing systems.

Worked on AI training datasets focused on audio annotation and speech data processing. Tasks included transcription, speech-to-text alignment, speaker identification, and audio classification across diverse datasets such as conversations, interviews, and environmental sounds. Annotated and processed over 20,000+ audio clips, ensuring high accuracy and consistency by following strict annotation guidelines. Performed noise identification, segmentation of audio into meaningful timestamps, and labeling of speech patterns, accents, and background sounds. Maintained quality standards above 95% accuracy through continuous review and validation processes. Utilized tools such as Audacity and other audio labeling platforms to edit, segment, and annotate recordings efficiently. Handled complex audio scenarios including overlapping speech, low-quality recordings, and multilingual content. Collaborated with distributed teams to improve dataset quality for AI models used in speech recognition and natural language processing systems.

2022 - 2024

AI Data Annotation & Object Tracking for Computer Vision Models

VideoBounding Box

Worked on large-scale AI training datasets involving image and video annotation for computer vision models. Responsibilities included drawing bounding boxes, polygon segmentation, and frame-by-frame object tracking for moving objects such as vehicles, pedestrians, and general objects. Annotated over 50,000+ data points using tools such as Labelbox, CVAT, and YOLO-based workflows. Ensured high-quality labeling by following strict annotation guidelines and conducting regular quality assurance checks to maintain over 95% accuracy. Handled complex scenarios including occlusion, motion blur, and multi-object tracking across video frames. Collaborated with remote AI teams to improve dataset consistency and optimize model performance.

Worked on large-scale AI training datasets involving image and video annotation for computer vision models. Responsibilities included drawing bounding boxes, polygon segmentation, and frame-by-frame object tracking for moving objects such as vehicles, pedestrians, and general objects. Annotated over 50,000+ data points using tools such as Labelbox, CVAT, and YOLO-based workflows. Ensured high-quality labeling by following strict annotation guidelines and conducting regular quality assurance checks to maintain over 95% accuracy. Handled complex scenarios including occlusion, motion blur, and multi-object tracking across video frames. Collaborated with remote AI teams to improve dataset consistency and optimize model performance.

2022 - 2024

Education

Work History