Key Skills

Software

Appen

Axiom AI

Clickworker

CrowdSource

Data Annotation Tech

Img Lab

Labelbox

Label Studio

Lionbridge

OneForma

Playment

Remotasks

Roboflow

Scale AI

SuperAnnotate

Toloka

Telus

Top Subject Matter

Healthcare

Finance

E-commerce

Top Data Types

Audio

Image

Text

Top Task Types

Bounding Box

Classification

Data Collection

Polygon

Segmentation

Freelancer Overview

In the realm of data labeling and AI training data, my experience is centered on ensuring high-quality datasets that are crucial for training and validating machine learning models. I have a solid foundation in understanding annotation guidelines and implementing them meticulously to achieve accurate labeling results.

Labeling Experience

Image annotation

RoboflowImageBounding BoxPolygon

I worked as a Freelance Data Annotator on technology and manufacturing projects where I successfully supported the development of computer vision datasets used for industrial automation, predictive maintenance, and worker safety monitoring systems. I completed a wide range of annotation tasks including object detection, polygon segmentation, mechanical defect classification, and identification of safety compliance across more than 25,000 industrial images. I delivered annotations in COCO, Pascal VOC, and JSON formats and consistently achieved over 97% accuracy by following detailed guidelines, performing structured self-reviews, and collaborating with clients to refine labeling requirements.

I worked as a Freelance Data Annotator on technology and manufacturing projects where I successfully supported the development of computer vision datasets used for industrial automation, predictive maintenance, and worker safety monitoring systems. I completed a wide range of annotation tasks including object detection, polygon segmentation, mechanical defect classification, and identification of safety compliance across more than 25,000 industrial images. I delivered annotations in COCO, Pascal VOC, and JSON formats and consistently achieved over 97% accuracy by following detailed guidelines, performing structured self-reviews, and collaborating with clients to refine labeling requirements.

2021 - 2024

Text Labeling

Label StudioTextEntity Ner ClassificationText Generation

This project involved annotating technical text data related to industrial equipment, safety procedures, and manufacturing workflows to support Natural Language Processing (NLP) and AI training models. The tasks included text classification, keyword tagging, and identifying key entities such as machinery components, operational steps, risk indicators, and compliance terms. The objective was to structure and label unformatted technical documents, reports, and manuals to enable more accurate information retrieval, automated document understanding, and AI-powered assistance tools for the manufacturing sector.

This project involved annotating technical text data related to industrial equipment, safety procedures, and manufacturing workflows to support Natural Language Processing (NLP) and AI training models. The tasks included text classification, keyword tagging, and identifying key entities such as machinery components, operational steps, risk indicators, and compliance terms. The objective was to structure and label unformatted technical documents, reports, and manuals to enable more accurate information retrieval, automated document understanding, and AI-powered assistance tools for the manufacturing sector.

2021

Education

Work History