James G.

Key Skills

Software

CVAT

Data Annotation Tech

Labelbox

Remotasks

Supervisely

Scale AI

Top Subject Matter

Alphabet/ "data analysis and efficiency"

Nvidia/ "Data labeling and consistency"

Dynatrace/ "Computer vision projects"

Top Data Types

Image

Text

Video

Top Task Types

Bounding Box

Data Collection

Emotion Recognition

Segmentation

Text Summarization

Freelancer Overview

Having vast knowledge and experience in data labeling and AI training, particularly in annotating, and managing large datasets to enhance machine learning models' performance. Consistency and data accuracy contributes to developing robust AI models across domains. Developing detailed annotation guidelines, overseeing teams of annotators, and implementing quality control measures are my strong traits. I have worked on diverse projects, from image and text classification to complex natural language processing tasks, contributing to the development of robust AI models across various domains. A project i got involved in was managing a multi-lingual text classification dataset. I led a team in labeling and verifying thousands of text samples across multiple languages, ensuring high precision and recall in the final model. My technical skills include proficiency with labeling tools like Labelbox and Prodigy, along with programming knowledge in Python for data preprocessing and automation. Additionally, my strong analytical abilities and attention to detail allowed me to identify and address potential data issues early in the process, ultimately leading to more reliable and effective AI systems.

Labeling Experience

Image polygonal annotation

Scale AIImageBounding BoxPolygon

The purpose of the project was to improve the accuracy of a machine to annotate images for object detection and to classify them. Images, audio and video were the data to be labled. I provided detailed instructions for annotators on how to be accurate, consistent, tools to use as well as the software to use. I had a team of annotators who made the workflow easy and swift. The entire team had labeling section, quality control, data processing and prototype testing. Each project was divided into milestones and each had a different deadline depending the complexity.

2018 - 2018

Education

Work History