J Ripper

Key Skills

Software

Labelbox

Top Subject Matter

No subject matter listed

Top Data Types

Image

Top Label Types

Bounding Box

Freelancer Overview

I am an analytical and detail-oriented data professional with hands-on experience supporting AI and machine learning projects through high-quality data preparation, annotation, and analysis. My background includes conducting data preprocessing, statistical modeling, and dataset curation for machine learning research at UC Berkeley, where I ensured data accuracy and quality for AI experiments. I am skilled in Python, SQL, and Excel, and have used these tools to automate data workflows, build predictive models, and streamline reporting in both academic and industry settings. My experience collaborating remotely with cross-functional teams has honed my ability to deliver accurate results under tight deadlines. I am passionate about leveraging my data analysis and research skills to contribute to the development of reliable AI systems through meticulous data labeling and annotation.

Labeling Experience

Image Annotation for Object Detection

LabelboxImageBounding Box

Annotated image datasets for computer vision model training using bounding box techniques. Labeled common objects such as people, vehicles, animals, and everyday items according to detailed annotation guidelines. Ensured accurate object placement, tight bounding boxes, and consistent labeling across datasets. Performed quality checks to identify and correct annotation errors, maintaining high accuracy standards suitable for machine learning training

Annotated image datasets for computer vision model training using bounding box techniques. Labeled common objects such as people, vehicles, animals, and everyday items according to detailed annotation guidelines. Ensured accurate object placement, tight bounding boxes, and consistent labeling across datasets. Performed quality checks to identify and correct annotation errors, maintaining high accuracy standards suitable for machine learning training

2025 - 2025

Data Labeling Specialist / Data Annotator

LabelboxImageBounding Box

As a Data Labeling Specialist, I annotated large image datasets for use in computer vision and AI model training. My tasks included drawing bounding boxes, polygons, and performing segmentation on image data according to detailed project guidelines. I utilized a variety of annotation tools to deliver accurate and consistent labels within productivity targets. • Labeled objects for object detection and segmentation tasks • Followed strict quality assurance protocols • Used tools such as Labelbox, CVAT, and SuperAnnotate • Enhanced dataset quality by identifying and resolving inconsistencies

As a Data Labeling Specialist, I annotated large image datasets for use in computer vision and AI model training. My tasks included drawing bounding boxes, polygons, and performing segmentation on image data according to detailed project guidelines. I utilized a variety of annotation tools to deliver accurate and consistent labels within productivity targets. • Labeled objects for object detection and segmentation tasks • Followed strict quality assurance protocols • Used tools such as Labelbox, CVAT, and SuperAnnotate • Enhanced dataset quality by identifying and resolving inconsistencies

2025

Education

Work History