Kemunto Angela

Key Skills

Software

CVAT

Appen

Clickworker

Data Annotation Tech

Labelbox

Micro1

Mercor

OneForma

Mindrift

Remotasks

Scale AI

SuperAnnotate

Telus

Top Subject Matter

Computer Vision / AI Training

Natural Language Processing / Text AI

Computer Vision / Video Analytics

Top Data Types

Image

Text

Video

Audio

Top Task Types

Bounding Box

Classification

Tracking

Transcription

Polygon

Segmentation

Object Detection

Text Generation

Question Answering

Text Summarization

Evaluation Rating

Computer Programming Coding

Data Collection

Prompt Response Writing SFT

Function Calling

Polyline

Point Key Point

Freelancer Overview

AI Data Trainer & Annotation Specialist (Image Data). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelbox, CVAT, and N. Education includes Master of Science, N/A (2023) and Bachelor of Science, N/A (2021). AI-training focus includes data types such as Image, Text, and Video and labeling workflows including Bounding Box, Classification, and Tracking.

Labeling Experience

AI Data Trainer & Annotation Specialist (Audio Data)

LabelboxAudioTranscription

I executed audio annotation tasks, including transcription alignment and speech tagging for machine learning models. My responsibilities included segmenting audio files and applying tag labels based on content and intent. This work enhanced the quality and effectiveness of speech recognition and classification systems. • Tagged and transcribed audio with precise segmenting • Validated annotations for AI-driven audio models • Maintained high accuracy and efficiency across large datasets • Contributed feedback to update and optimize annotation protocols.

I executed audio annotation tasks, including transcription alignment and speech tagging for machine learning models. My responsibilities included segmenting audio files and applying tag labels based on content and intent. This work enhanced the quality and effectiveness of speech recognition and classification systems. • Tagged and transcribed audio with precise segmenting • Validated annotations for AI-driven audio models • Maintained high accuracy and efficiency across large datasets • Contributed feedback to update and optimize annotation protocols.

2023 - Present

AI Data Trainer & Annotation Specialist (Video Data)

CVATVideoTracking

I performed video annotation to support object tracking and model training in computer vision. Each task involved frame-by-frame labeling and advanced object identification. Ensuring consistency and accuracy in video annotations was a critical requirement for effective dataset creation. • Used CVAT for video annotation and object tracking projects • Structured datasets for YOLO and COCO based detection models • Collaborated with engineers to refine annotation standards • Executed manual QA and validation processes for video labels.

I performed video annotation to support object tracking and model training in computer vision. Each task involved frame-by-frame labeling and advanced object identification. Ensuring consistency and accuracy in video annotations was a critical requirement for effective dataset creation. • Used CVAT for video annotation and object tracking projects • Structured datasets for YOLO and COCO based detection models • Collaborated with engineers to refine annotation standards • Executed manual QA and validation processes for video labels.

2023 - Present

AI Data Trainer & Annotation Specialist (Text Data)

LabelboxTextClassification

I completed text data annotation and classification, contributing to machine learning model training tasks. The work included sentiment analysis, MCQ-based evaluation, and supporting text-based AI workflows. Accuracy and context understanding were essential for high-quality annotation outcomes. • Labeled sentiment and intent for various text corpora • Evaluated MCQ questions for AI reasoning and decision improvement • Structured data outputs using JSON schema standards • Collaborated with international teams on annotation guidelines and quality standards.

I completed text data annotation and classification, contributing to machine learning model training tasks. The work included sentiment analysis, MCQ-based evaluation, and supporting text-based AI workflows. Accuracy and context understanding were essential for high-quality annotation outcomes. • Labeled sentiment and intent for various text corpora • Evaluated MCQ questions for AI reasoning and decision improvement • Structured data outputs using JSON schema standards • Collaborated with international teams on annotation guidelines and quality standards.

2023 - Present

AI Data Trainer & Annotation Specialist (Image Data)

LabelboxImageBounding Box

I annotated and validated large-scale image datasets for training machine learning models. My work included creating bounding boxes, segmentation, and classification labels for use in computer vision. I ensured high annotation accuracy and followed precise label guidelines throughout the project. • Used Labelbox and CVAT to generate labeled data formatted for object detection (COCO and YOLO) • Performed comprehensive manual verification and quality assurance • Collaborated with teams to enhance annotation practices and model accuracy • Contributed to improvement of annotation processes and documentation.

I annotated and validated large-scale image datasets for training machine learning models. My work included creating bounding boxes, segmentation, and classification labels for use in computer vision. I ensured high annotation accuracy and followed precise label guidelines throughout the project. • Used Labelbox and CVAT to generate labeled data formatted for object detection (COCO and YOLO) • Performed comprehensive manual verification and quality assurance • Collaborated with teams to enhance annotation practices and model accuracy • Contributed to improvement of annotation processes and documentation.

2023 - Present

Data Analyst & AI Support Specialist (Structured Data)

Classification

I cleaned, extracted, and classified structured data for AI model training and evaluation. My work included handling SQL databases, tables, and CSV datasets to support data labeling pipelines. Efficient organization and reliability of structured annotation were key objectives. • Processed structured data with Python and SQL for labeling • Organized annotation outputs using JSON and standardized schemas • Supported ML teams with labeled data for performance improvement • Ensured data consistency and quality for downstream model tasks.

I cleaned, extracted, and classified structured data for AI model training and evaluation. My work included handling SQL databases, tables, and CSV datasets to support data labeling pipelines. Efficient organization and reliability of structured annotation were key objectives. • Processed structured data with Python and SQL for labeling • Organized annotation outputs using JSON and standardized schemas • Supported ML teams with labeled data for performance improvement • Ensured data consistency and quality for downstream model tasks.

2022 - 2023

Education

Work History