Data Labeler is a lightweight, intuitive web application designed to simplify and accelerate the data labeling process — a critical step in machine learning, AI, and structured data workflows.

💡 The Challenge:

Efficient data labeling requires speed, accuracy, and a clean interface that supports both administrators and annotators. Many existing solutions are either too complex or not tailored to specific workflows. Our goal was to build a universal, user-friendly platform that addressed both technical and usability concerns from the ground up.

🛠 Our Solution:

Skillian developed Data Labeler from scratch, with a focus on performance, simplicity, and role-based functionality.

👤 User Roles:

1. Administrator – Can import/export datasets via Excel files for easy integration with existing data pipelines

2. Labeler – Responsible for annotating and categorizing data through a streamlined interface

🔍 Key Features:

• Find Button – Highlights all digits in the text to assist with data extraction and identification

• Search Button – Opens a contextual popup that allows users to select words and instantly trigger a Google Search

• Excel-Based Workflow – Supports direct Excel import/export for seamless collaboration and tracking

• Role-Based Access Control – Tailored experience for administrators and labelers

✅ Impact:

Data Labeler helps teams reduce annotation time, improve labeling accuracy, and simplify data management — all within an intuitive web interface that requires minimal training. Its flexible design makes it suitable for a wide range of use cases, from research to production ML pipelines.