Fred Hawthorne

Key Skills

Software

Axiom AI

CloudFactory

Data Annotation Tech

Dataloop

Label Studio

Scale AI

Labelbox

OneForma

Top Subject Matter

healthcare

autonomous vehicle

Iretail,finance and agriculture

Top Data Types

Image

Text

Video

Top Task Types

Bounding Box

Classification

Segmentation

Text Generation

Text Summarization

Freelancer Overview

I have extensive experience in data labeling and generating AI training data, having worked on diverse projects across various domains, including natural language processing, computer vision, and audio recognition. My role involved meticulously annotating datasets, ensuring high accuracy and consistency, which is crucial for training robust AI models. I have utilized tools such as Labelbox, VGG Image Annotator, and Amazon SageMaker Ground Truth to streamline the labeling process and enhance productivity. My attention to detail and ability to work with complex data sets have consistently resulted in quality outcomes. One of my key projects involved labeling a large dataset of images for a self-driving car application, where I categorized objects and annotated road conditions to improve model performance. Additionally, I collaborated with cross-functional teams to refine labeling guidelines and optimize workflows, which significantly reduced turnaround times. My background in data analysis also enables me to identify trends and areas for improvement in the labeling process, making me adept at enhancing overall efficiency. With strong communication skills and a commitment to data integrity, I am well-equipped to contribute effectively to any AI training initiative.

Labeling Experience

Radiology Image Classification

LabelboxVideoSegmentationClassification

This project focused on annotating medical images to identify and classify various conditions such as tumors, fractures, and other abnormalities. The annotations created were critical for training AI models that assist radiologists in diagnostics.

This project focused on annotating medical images to identify and classify various conditions such as tumors, fractures, and other abnormalities. The annotations created were critical for training AI models that assist radiologists in diagnostics.

2024

Feedback Sentiment Annotation

OneformaTextClassification

This project involved labeling thousands of customer reviews and feedback for a leading retail brand. The objective was to categorize each entry based on sentiment and intent, allowing the development of a robust sentiment analysis model for customer communication systems.

This project involved labeling thousands of customer reviews and feedback for a leading retail brand. The objective was to categorize each entry based on sentiment and intent, allowing the development of a robust sentiment analysis model for customer communication systems.

2023 - 2023

Autonomous Vehicle Object Detection

LabelboxImageBounding BoxSegmentation

This project involved annotating a large dataset featuring various driving scenarios, such as urban environments, highways, and rural roads. The goal was to identify and label objects such as vehicles, pedestrians, cyclists, traffic signs, and road conditions to improve the performance of an AI model for self-driving cars.

This project involved annotating a large dataset featuring various driving scenarios, such as urban environments, highways, and rural roads. The goal was to identify and label objects such as vehicles, pedestrians, cyclists, traffic signs, and road conditions to improve the performance of an AI model for self-driving cars.

2022 - 2022

Education

Work History