Miriam Katunge

Key Skills

Software

Labelbox

CVAT

Top Subject Matter

General AI/Machine Learning

Legal Services & Contract Review

Regulatory Compliance & Risk Analysis

Top Data Types

Image

Audio

Video

Top Task Types

Object Detection

Bounding Box

Segmentation

Freelancer Overview

AI Training Specialist (Freelance / Remote). Core strengths include Labelbox and CVAT. Education includes Bachelor of Science, Lukenya University (2021). AI-training focus includes data types such as Image and labeling workflows including Object Detection and Bounding Box.

Labeling Experience

AI Training Specialist – Computer Vision & NLP Data Annotation

AudioTranscription

Worked on large-scale audio annotation projects supporting AI and machine learning models, particularly in speech recognition and audio classification. Performed accurate audio transcription by converting spoken language into text while maintaining proper grammar, punctuation, and context. Labeled and categorized audio data into different classes such as speech, background noise, music, and environmental sounds. Conducted speaker identification and segmentation tasks to distinguish between multiple speakers within audio recordings. Handled diverse audio datasets including call recordings, interviews, and conversational speech, ensuring clarity and consistency in annotations. Followed detailed project guidelines to maintain high accuracy and quality standards across all tasks. Applied quality assurance practices such as self-review, error correction, and incorporating feedback from QA teams to improve transcription accuracy and labeling consistency. Successfully managed large volumes of audio data while meeting strict deadlines.

Worked on large-scale audio annotation projects supporting AI and machine learning models, particularly in speech recognition and audio classification. Performed accurate audio transcription by converting spoken language into text while maintaining proper grammar, punctuation, and context. Labeled and categorized audio data into different classes such as speech, background noise, music, and environmental sounds. Conducted speaker identification and segmentation tasks to distinguish between multiple speakers within audio recordings. Handled diverse audio datasets including call recordings, interviews, and conversational speech, ensuring clarity and consistency in annotations. Followed detailed project guidelines to maintain high accuracy and quality standards across all tasks. Applied quality assurance practices such as self-review, error correction, and incorporating feedback from QA teams to improve transcription accuracy and labeling consistency. Successfully managed large volumes of audio data while meeting strict deadlines.

2024 - Present

AI Training Specialist (Freelance / Remote)

LabelboxImageSegmentation

As an AI Training Specialist, I annotated complex image, video, and audio datasets to facilitate training of advanced machine learning models. I performed object detection, segmentation, and tracking using industry-standard tools and rigorous validation techniques. Quality checks and detailed annotation processes were essential to ensure precise training data. • Labeled images and videos using Labelbox, CVAT, and YOLO formats • Conducted object detection and segmentation for various AI applications • Ensured data accuracy via quality validation and review workflows • Completed remote annotation projects for global clients

As an AI Training Specialist, I annotated complex image, video, and audio datasets to facilitate training of advanced machine learning models. I performed object detection, segmentation, and tracking using industry-standard tools and rigorous validation techniques. Quality checks and detailed annotation processes were essential to ensure precise training data. • Labeled images and videos using Labelbox, CVAT, and YOLO formats • Conducted object detection and segmentation for various AI applications • Ensured data accuracy via quality validation and review workflows • Completed remote annotation projects for global clients

2023 - Present

AI Training Specialist Computer Vision & NLP Data Annotation

VideoBounding Box

Worked on large-scale video annotation projects for AI model training, focusing on object detection, tracking, and activity recognition. Labeled and tracked multiple objects across video frames using bounding boxes, ensuring temporal consistency and accuracy throughout sequences. Performed frame-by-frame annotation to capture object movement, interactions, and behavioral patterns in dynamic environments. Applied annotation techniques such as object tracking, keyframe labeling, and interpolation to improve efficiency while maintaining high-quality outputs. Handled video datasets ranging from short clips to long-duration footage, contributing to projects in areas such as surveillance, autonomous systems, and general computer vision applications. Ensured strict adherence to project guidelines, including labeling accuracy, consistency across frames, and correct object identification. Maintained high-quality standards by conducting self-reviews, resolving edge cases (e.g., occlusion, motion blur), and incorporating feedback from QA teams. Utilized tools like CVAT and Labelbox for video annotation and managed large volumes of data within tight deadlines.

Worked on large-scale video annotation projects for AI model training, focusing on object detection, tracking, and activity recognition. Labeled and tracked multiple objects across video frames using bounding boxes, ensuring temporal consistency and accuracy throughout sequences. Performed frame-by-frame annotation to capture object movement, interactions, and behavioral patterns in dynamic environments. Applied annotation techniques such as object tracking, keyframe labeling, and interpolation to improve efficiency while maintaining high-quality outputs. Handled video datasets ranging from short clips to long-duration footage, contributing to projects in areas such as surveillance, autonomous systems, and general computer vision applications. Ensured strict adherence to project guidelines, including labeling accuracy, consistency across frames, and correct object identification. Maintained high-quality standards by conducting self-reviews, resolving edge cases (e.g., occlusion, motion blur), and incorporating feedback from QA teams. Utilized tools like CVAT and Labelbox for video annotation and managed large volumes of data within tight deadlines.

2023 - 2024

AI Training Specialist Computer Vision & NLP Data Annotation

ImageSegmentation

Contributed to multiple AI training projects over a 3-year period involving image, text, and document annotation. Performed detailed object detection and bounding box labeling on large-scale image datasets for computer vision models, including real-world scenarios such as retail products and everyday objects. Executed text and document annotation tasks such as classification, tagging, and data categorization to support NLP model training. Worked with tools including Labelbox, CVAT, and YOLO-based annotation formats to prepare high-quality datasets. Handled datasets ranging from thousands to tens of thousands of data points while maintaining high accuracy and consistency. Followed strict annotation guidelines, conducted self-QA checks, and incorporated feedback from reviewers to improve labeling quality. Maintained productivity while meeting tight deadlines across different projects.

Contributed to multiple AI training projects over a 3-year period involving image, text, and document annotation. Performed detailed object detection and bounding box labeling on large-scale image datasets for computer vision models, including real-world scenarios such as retail products and everyday objects. Executed text and document annotation tasks such as classification, tagging, and data categorization to support NLP model training. Worked with tools including Labelbox, CVAT, and YOLO-based annotation formats to prepare high-quality datasets. Handled datasets ranging from thousands to tens of thousands of data points while maintaining high accuracy and consistency. Followed strict annotation guidelines, conducted self-QA checks, and incorporated feedback from reviewers to improve labeling quality. Maintained productivity while meeting tight deadlines across different projects.

2022 - 2023

Data Annotation Assistant (Contract / Remote)

LabelboxImageBounding Box

As a Data Annotation Assistant, I was responsible for preparing and labeling datasets for machine learning model training. I focused on creating bounding box and classification annotations for image and video data. Maintaining high accuracy and organizational standards was essential throughout each project lifecycle. • Labeled images using bounding boxes and classification techniques • Organized and cleaned datasets for AI model consumption • Maintained data accuracy and completed tasks within deadlines • Supported dataset preparation for supervised learning tasks

As a Data Annotation Assistant, I was responsible for preparing and labeling datasets for machine learning model training. I focused on creating bounding box and classification annotations for image and video data. Maintaining high accuracy and organizational standards was essential throughout each project lifecycle. • Labeled images using bounding boxes and classification techniques • Organized and cleaned datasets for AI model consumption • Maintained data accuracy and completed tasks within deadlines • Supported dataset preparation for supervised learning tasks

2022 - 2023

Education

Work History