Key Skills

Software

AWS SageMaker

Anno-Mage

Appen

Argilla

Axiom AI

Clickworker

CloudFactory

CrowdFlower

CrowdSource

Data Annotation Tech

Dataloop

Datasaur

Datature

Humanatic

Img Lab

Labelbox

Label Studio

Lionbridge

Mighty AI

OneForma

Remotasks

Roboflow

Telus

Trilldata Technologies

Other

Internal/Proprietary Tooling

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Document

Text

Video

Top Task Types

Action Recognition

Audio Recording

Classification

Data Collection

Translation Localization

Freelancer Overview

More than 3 years of experience in data labeling and AI training data preparation, I have developed a comprehensive skill set in creating high-quality, labeled datasets essential for training robust AI and machine learning models. My expertise spans various industries, including healthcare, finance, and e-commerce, where I have contributed to projects that required accurate and efficient data annotation for applications like image classification, natural language processing (NLP), and object detection. I have worked extensively with labeling tools and platforms such as Labelbox, SuperAnnotate, and CVAT, ensuring that training data is well-structured and aligned with specific project goals. My work has included organizing and curating large datasets, improving labeling accuracy through quality control processes, and collaborating with cross-functional teams to meet project deadlines and standards. One standout project involved leading the data labeling efforts for a medical imaging classification system, where I helped annotate thousands of medical images for the development of an AI model aimed at detecting anomalies in X-rays. Additionally, I have significant experience working with NLP tasks like sentiment analysis, text classification, and named entity recognition (NER), supporting the development of AI solutions for automated customer service and financial fraud detection. My ability to understand the specific needs of AI models and the intricacies of data labeling p

Labeling Experience

Education

Work History