Mercy Wangui

Key Skills

Software

Data Annotation Tech

Top Subject Matter

No subject matter listed

Top Data Types

Video

Top Label Types

Bounding Box

Polygon

Point Key Point

Entity Ner Classification

Segmentation

Freelancer Overview

I am a detail-oriented data annotator and AI training specialist with experience in labeling, reviewing, and validating text data for high-quality AI model training. My background as a content reviewer and educator has equipped me with strong skills in guideline interpretation, natural language understanding, and maintaining data integrity. I excel at following precise annotation protocols, delivering consistent and accurate datasets, and providing structured feedback for prompt evaluation. I am comfortable working independently in remote environments and am committed to supporting projects in NLP, content evaluation, and other domains where high-quality training data is essential.

Labeling Experience

data annotator

Data Annotation TechVideoBounding BoxPolygon

Worked on a computer vision data annotation project focused on improving machine learning models for video-based object detection and segmentation. The project involved labeling video datasets using bounding boxes, polygons, and key points to accurately identify and track objects across frames. Tasks included frame by frame annotation, quality checking, and ensuring consistency with annotation guidelines. The annotated data was used to train and evaluate computer vision models for object recognition, motion tracking, and scene understanding.

Worked on a computer vision data annotation project focused on improving machine learning models for video-based object detection and segmentation. The project involved labeling video datasets using bounding boxes, polygons, and key points to accurately identify and track objects across frames. Tasks included frame by frame annotation, quality checking, and ensuring consistency with annotation guidelines. The annotated data was used to train and evaluate computer vision models for object recognition, motion tracking, and scene understanding.

2023 - 2025

Education

Work History