Ndege Otieno Malcom

Key Skills

Software

Clickworker

Top Subject Matter

No subject matter listed

Top Data Types

Image

Top Label Types

Bounding Box

Freelancer Overview

I am a detail-oriented AI data labeling specialist with hands-on experience supporting artificial intelligence training projects through remote annotation platforms. My background includes annotating and categorizing text, image, and digital datasets to enhance AI model performance. I excel at following complex project guidelines, maintaining high accuracy and consistency, and delivering results within tight deadlines. I am skilled in using web-based annotation tools, Microsoft Excel, Google Sheets, and cloud-based platforms. I am adept at content evaluation, quality assurance, and identifying inconsistencies in data, all while working independently in remote environments. My strong attention to detail, adaptability to new tools, and commitment to data integrity make me a reliable contributor to any AI training data project.

Labeling Experience

DATA LABELING

ClickworkerImageBounding Box

Sample Data Labeling / Annotation Projects • Image Classification for Retail Products Categorized thousands of product images (e.g., clothing, electronics, groceries) into predefined categories to support e-commerce search and recommendation systems. • Text Sentiment Analysis Annotation Labeled customer reviews and social media posts with sentiment tags (positive, negative, neutral) to train natural language processing models for customer feedback analysis. • Bounding Box Annotation for Autonomous Vehicles Drew bounding boxes around pedestrians, vehicles, and traffic signs in street images to help train computer vision models for self-driving car projects. • Content Moderation Dataset Preparation

Sample Data Labeling / Annotation Projects • Image Classification for Retail Products Categorized thousands of product images (e.g., clothing, electronics, groceries) into predefined categories to support e-commerce search and recommendation systems. • Text Sentiment Analysis Annotation Labeled customer reviews and social media posts with sentiment tags (positive, negative, neutral) to train natural language processing models for customer feedback analysis. • Bounding Box Annotation for Autonomous Vehicles Drew bounding boxes around pedestrians, vehicles, and traffic signs in street images to help train computer vision models for self-driving car projects. • Content Moderation Dataset Preparation

2023 - 2025

Education

Work History