Key Skills

Software

Appen

CVAT

Data Annotation Tech

Labelbox

Label Studio

Mercor

Top Subject Matter

No subject matter listed

Top Data Types

Image

Video

Text

Top Task Types

Segmentation

Classification

Polygon

Entity Ner Classification

Point Key Point

Bounding Box

Text Generation

Question Answering

Transcription

Freelancer Overview

I am highly skilled in interpreting simple and complex annotation guidelines which gives high-quality data that practically improves model performance. I have proficiency in bounding box annotation, text classification and semantic segmentation with help of tools like Labelbox and Amazon Mechanical Turk. For example, I have worked on Remotasks project before where I was supposed to develop a self driving car algorithm and clear prompt labelling for AI. To make the car “see” and comprehend the road, I made the system AI learn how to recognize objects such as pedestrians, other vehicles, traffic signs and road lanes. I used hundreds of examples of the labelled road, pedestrian, traffic lights and any other objects the car may notice along the roads. Data annotation came in to inform the automated car what the objects on the road are and what needs to be done, annotating to specific instructions for specific task. I clearly use digital Bricks to give the big data annotation to the AI model.

Labeling Experience

Education

Work History