Paul Gachoka

Key Skills

Software

Roboflow

Top Subject Matter

No subject matter listed

Top Data Types

Image

Top Label Types

Bounding Box

Entity Ner Classification

Classification

Emotion Recognition

Object Detection

Freelancer Overview

I am an experienced data annotation and AI training professional with a strong background in image annotation, text classification, and data labeling for machine learning projects. My work at Stellar AI involved contributing to diverse projects, including specialized datasets such as military equipment recognition, where I ensured high accuracy in object detection and classification by rigorously following annotation guidelines. I am skilled in quality assurance processes and have hands-on experience with both computer vision and natural language processing tasks. My technical toolkit includes R, SQL, SPSS, Power BI, Tableau, and advanced Excel, allowing me to approach data preparation and labeling with a strong analytical mindset. I am committed to delivering precise, high-quality training data to support robust AI model development, consistently meeting tight deadlines while maintaining exceptional attention to detail.

Labeling Experience

Data Annotator

RoboflowImageBounding BoxEntity Ner Classification

• Contributed to diverse AI training projects including image annotation, text classification, and data labeling for machine learning models • Participated in specialized projects including military equipment enhancement training, ensuring high accuracy in object recognition and classification • Maintained quality standards through rigorous attention to detail and adherence to annotation guidelines

• Contributed to diverse AI training projects including image annotation, text classification, and data labeling for machine learning models • Participated in specialized projects including military equipment enhancement training, ensuring high accuracy in object recognition and classification • Maintained quality standards through rigorous attention to detail and adherence to annotation guidelines

2024 - 2025

Education

Work History