Key Skills

Software

AWS SageMaker

Argilla

Clickworker

CloudFactory

CVAT

Data Annotation Tech

Redbrick AI

Remotasks

Toloka

Scale AI

Appen

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Video

Top Task Types

Audio Recording

Computer Programming/Coding

Data Collection

Object Detection

Question Answering

Freelancer Overview

I’m experienced in data labeling, especially for text and image content, and I enjoy work that requires focus and attention to detail. My background in creating digital products and doing online research has helped me develop strong skills in organizing and labeling data clearly and accurately. I’ve worked on projects involving categorizing products, tagging educational content, and labeling lifestyle-related material for better AI training. I’m a fast learner and comfortable working with different types of content. I take pride in doing work that supports the development of smart and reliable AI systems. I’m also used to meeting deadlines and working independently, and I always aim to deliver high-quality results.

Labeling Experience

E-commerce & Educational Content Annotation Project

AppenTextEntity Ner ClassificationClassification

This project involved annotating and categorizing product listings and digital content for an AI model used in e-commerce and educational platforms. Tasks included identifying product types, labeling user intent in product reviews and messages, tagging educational topics in articles, and classifying customer sentiment and emotion in text-based data. I handled both structured and unstructured data using platforms such as Scale AI and Appen. The project required high attention to detail and adherence to quality assurance checks. I consistently met weekly accuracy benchmarks and contributed to training reliable AI models for product recommendation, content filtering, and sentiment-based personalization.

This project involved annotating and categorizing product listings and digital content for an AI model used in e-commerce and educational platforms. Tasks included identifying product types, labeling user intent in product reviews and messages, tagging educational topics in articles, and classifying customer sentiment and emotion in text-based data. I handled both structured and unstructured data using platforms such as Scale AI and Appen. The project required high attention to detail and adherence to quality assurance checks. I consistently met weekly accuracy benchmarks and contributed to training reliable AI models for product recommendation, content filtering, and sentiment-based personalization.

2024 - 2025

Education

Work History