Doris Kimuyu

Key Skills

Software

CloudFactory

Top Subject Matter

Computer Vision

Natural Language Processing

Speech Recognition

Top Data Types

Image

Text

Audio

Video

Document

Top Task Types

Bounding Box

Entity Ner Classification

Transcription

Classification

Freelancer Overview

I have over six years of experience in data labeling and AI training data, working on projects involving annotation, classification, and quality assurance across multiple data types, including text and audio. My work has focused on labeling datasets for applications such as speech-to-text systems, sentiment analysis, and emotion recognition, ensuring high accuracy and consistency to meet strict project guidelines. I am experienced in following detailed instructions, maintaining data integrity, and meeting tight deadlines in fast-paced, remote environments. What sets me apart is my strong attention to detail, ability to quickly adapt to new annotation tools and guidelines, and commitment to delivering high-quality outputs. I also bring critical thinking skills that help identify edge cases and improve data quality, along with effective communication and teamwork from collaborating on large-scale annotation projects. My experience has equipped me to contribute reliably to AI model training by providing precise, well-structured data that enhances model performance.

Labeling Experience

Data Clerk - Video & Image Analysis

CloudfactoryVideoClassification

I contributed to video and image analysis by labeling objects, segmenting scenes, and tagging video data for computer vision AI models. Work involved object recognition, scene segmentation, and quality assurance in labeled video datasets. Ensured that all video annotations matched client and AI model requirements. • Labeled objects in video frames • Segmented and tagged scenes for computer vision • Conducted QA on video annotation results • Delivered training-ready video datasets

I contributed to video and image analysis by labeling objects, segmenting scenes, and tagging video data for computer vision AI models. Work involved object recognition, scene segmentation, and quality assurance in labeled video datasets. Ensured that all video annotations matched client and AI model requirements. • Labeled objects in video frames • Segmented and tagged scenes for computer vision • Conducted QA on video annotation results • Delivered training-ready video datasets

2018 - Present

Data Clerk - Audio Annotation & Classification

CloudfactoryAudioTranscription

I annotated and classified audio clips for speech-to-text, sentiment analysis, and emotion recognition projects. Tasks included listening to audio, transcribing segments, and assigning relevant sentiment or emotion labels. Maintained high accuracy while following established QA standards. • Transcribed audio for speech recognition • Labeled audio clips for emotion and intent • Applied sentiment classification to audio files • Supported audio ML projects with structured data

I annotated and classified audio clips for speech-to-text, sentiment analysis, and emotion recognition projects. Tasks included listening to audio, transcribing segments, and assigning relevant sentiment or emotion labels. Maintained high accuracy while following established QA standards. • Transcribed audio for speech recognition • Labeled audio clips for emotion and intent • Applied sentiment classification to audio files • Supported audio ML projects with structured data

2018 - Present

Data Clerk - Text Categorization, Sentiment Analysis, Entity Recognition

CloudfactoryTextEntity Ner Classification

I provided text categorization, sentiment analysis, and entity recognition to support AI and NLP projects. These activities involved classifying text, labeling sentiments, and annotating named entities for supervised machine learning. I ensured data quality and adherence to linguistic guidelines in all projects. • Classified and labeled text for sentiment analysis • Performed named entity recognition tasks • Produced high-quality, accurate annotation • Supported NLP model training with structured data

I provided text categorization, sentiment analysis, and entity recognition to support AI and NLP projects. These activities involved classifying text, labeling sentiments, and annotating named entities for supervised machine learning. I ensured data quality and adherence to linguistic guidelines in all projects. • Classified and labeled text for sentiment analysis • Performed named entity recognition tasks • Produced high-quality, accurate annotation • Supported NLP model training with structured data

2018 - Present

Data Clerk - Data Annotation & Labeling for AI/ML (Image)

CloudfactoryImageBounding Box

As a Data Clerk at CloudFactory Limited, I performed image classification and bounding box annotation for machine learning training datasets. My duties included structuring image data, ensuring consistency, and using annotation tools to create high-quality labeled data. This role required precision and strict adherence to annotation guidelines. • Prepared and labeled images for AI models • Applied bounding boxes for object detection tasks • Ensured data accuracy for model quality • Delivered projects within established deadlines

As a Data Clerk at CloudFactory Limited, I performed image classification and bounding box annotation for machine learning training datasets. My duties included structuring image data, ensuring consistency, and using annotation tools to create high-quality labeled data. This role required precision and strict adherence to annotation guidelines. • Prepared and labeled images for AI models • Applied bounding boxes for object detection tasks • Ensured data accuracy for model quality • Delivered projects within established deadlines

2018 - Present

Education

Work History