Arabella K.

Key Skills

Software

CVAT

LabelImg

Appen

Top Subject Matter

Computer Vision

Speech Recognition/NLP

Top Data Types

Image

Audio

Document

Top Task Types

Bounding Box

Transcription

Classification

Freelancer Overview

Data Labeling Specialist & QA Validator. Core strengths include CVAT, Audacity, and LabelImg. Education includes Bachelor of Science, Kenyatta University (2025). AI-training focus includes data types such as Image and Audio and labeling workflows including Bounding Box, Transcription, and Classification.

Labeling Experience

Data Labeling Specialist & QA Validator

CVATImageBounding Box

As a Data Labeling Specialist & QA Validator at Klatch Technologies, I managed high-volume image annotation projects using bounding box, polygon, and segmentation methods. My responsibilities included computer vision labeling, object detection, semantic segmentation, and quality assurance of annotated datasets. I ensured consistent high-quality annotations and collaborated closely with project managers and other stakeholders. • Executed bounding box, polygonal, and semantic segmentation image labeling at scale • Performed dataset validation and error correction tasks consistently above 95% accuracy • Provided feedback and contributed to workflow and guideline improvements • Maintained documentation and managed multiple concurrent projects

2024 - Present

AI Training Technician & Data Labeling Analyst

LabelImgImageClassification

As an AI Training Technician & Data Labeling Analyst for Atlas Capture, I delivered image classification, feature extraction, and annotation supporting custom computer vision model training. I implemented Python batch processing scripts to validate and annotate diverse datasets and handled feature labeling for specialized vision applications. Communicating with clients, I tailored annotation workflows to meet unique requirements. • Managed image annotation for both standard and custom dataset formats • Automated annotation processing using Python and custom scripts • Performed feature extraction and complex computer vision label tasks • Maintained annotation quality and delivery to timeline specifications

2023 - Present

Data Annotation Specialist

AudioTranscription

As a Data Annotation Specialist for CrowdGen, I specialized in audio transcription and phonetic labeling for speech recognition model training. I performed fine-grained image classification, sentiment analysis, and semantic labeling for large-scale NLP training datasets. I ensured annotation accuracy across batches and projects and reported on quality metrics to improve future tasks. • Conducted audio transcription accounting for accent and dialect variation • Performed sentiment and emotional tone annotation for NLP datasets • Applied semantic labeling for contextual object relationships • Executed more than 100 hours of high-quality annotation work

2023 - 2024

Education

Work History