Waswa Waswa

Key Skills

Software

CVAT

Dataturk

Labelbox

Label Studio

Roboflow

Top Subject Matter

No subject matter listed

Top Data Types

Image

Text

Top Label Types

Action Recognition

Emotion Recognition

Object Detection

Question Answering

Translation Localization

Freelancer Overview

I am a detail-oriented and enthusiastic data labeling professional with experience in text, image, and video annotation. I have worked on multilingual content, customer service texts, and basic object classification, ensuring accurate and consistent labeling. Quick to learn new tools and techniques, I focus on precision and efficiency in all tasks. My goal is to support AI training projects by providing high-quality data that improves model performance.

Labeling Experience

Object Detection and Image Classification for AI Training

RoboflowImage

Annotated and labelled over 1,500 images for AI model training, including everyday objects, animals, and vehicles. Tasks included drawing bounding boxes around objects, classifying images into categories, and performing simple segmentation for better object recognition. Maintained accuracy by reviewing labels and ensuring consistency across all images, contributing to improved AI model performance for object detection tasks.

Annotated and labelled over 1,500 images for AI model training, including everyday objects, animals, and vehicles. Tasks included drawing bounding boxes around objects, classifying images into categories, and performing simple segmentation for better object recognition. Maintained accuracy by reviewing labels and ensuring consistency across all images, contributing to improved AI model performance for object detection tasks.

2025 - 2025

Customer Support Text Annotation for AI Training

DataturkText

Labelled and annotated customer service emails, chat messages, and product reviews in English and Swahili. Tasks included classifying text by sentiment, tagging named entities (such as names, dates, and locations), and verifying translation accuracy. Ensured high-quality labelling by reviewing outputs for consistency and accuracy. Project included over 2,000 text samples and contributed to training AI models for improved multilingual understanding.

Labelled and annotated customer service emails, chat messages, and product reviews in English and Swahili. Tasks included classifying text by sentiment, tagging named entities (such as names, dates, and locations), and verifying translation accuracy. Ensured high-quality labelling by reviewing outputs for consistency and accuracy. Project included over 2,000 text samples and contributed to training AI models for improved multilingual understanding.

2025 - 2025

Education

Work History