Curtis Greenaway

Key Skills

Software

Labelbox

Other

Top Subject Matter

Computer Vision

Natural Language Processing

Legal Services & Contract Review

Top Data Types

Image

Text

Document

Top Task Types

Bounding Box

Classification

Freelancer Overview

AI Training Specialist / Data Annotator. Core strengths include Labelbox and Other. Education includes Associate Degree, Butte College (2020) and High School Diploma, Corning Union High School (2018). AI-training focus includes data types such as Image and Text and labeling workflows including Bounding Box and Classification.

Labeling Experience

Data Labeling Specialist

LabelboxImageBounding Box

As a Data Labeling Specialist, I labeled thousands of image and video datasets for object detection and classification models. I produced bounding boxes and segmentation masks critical for training computer vision systems. My duties included performing dataset audits to correct inconsistencies and maintaining comprehensive documentation. • Followed stringent annotation protocols for consistent results. • Quickly identified and corrected labeling errors. • Supported the creation of high-quality AI training datasets. • Assisted in process improvements by reporting data issues.

As a Data Labeling Specialist, I labeled thousands of image and video datasets for object detection and classification models. I produced bounding boxes and segmentation masks critical for training computer vision systems. My duties included performing dataset audits to correct inconsistencies and maintaining comprehensive documentation. • Followed stringent annotation protocols for consistent results. • Quickly identified and corrected labeling errors. • Supported the creation of high-quality AI training datasets. • Assisted in process improvements by reporting data issues.

2021 - Present

AI Training Specialist / Data Annotator

LabelboxImageBounding Box

As an AI Training Specialist / Data Annotator, I annotated image, video, and audio datasets for machine learning and AI model development. My main responsibilities included bounding box annotation, object tracking, and semantic segmentation using Labelbox and YOLO-based workflows. I ensured dataset accuracy through thorough quality assurance reviews. • Performed precise annotations to support computer vision training. • Used project tracking tools for annotation progress tracking. • Collaborated with ML teams to refine annotation guidelines. • Enhanced dataset performance and integrity through QA processes.

As an AI Training Specialist / Data Annotator, I annotated image, video, and audio datasets for machine learning and AI model development. My main responsibilities included bounding box annotation, object tracking, and semantic segmentation using Labelbox and YOLO-based workflows. I ensured dataset accuracy through thorough quality assurance reviews. • Performed precise annotations to support computer vision training. • Used project tracking tools for annotation progress tracking. • Collaborated with ML teams to refine annotation guidelines. • Enhanced dataset performance and integrity through QA processes.

2022 - Present

Junior Data Annotator

OtherTextClassification

Working as a Junior Data Annotator, I annotated text, audio, and image datasets for machine learning and NLP applications. I categorized data and applied metadata tags to improve structure and training effectiveness. I assisted in preparing these datasets for AI training and evaluation workflows. • Oversaw data categorization and tagging using annotation platforms. • Enhanced NLP model performance with accurate data labeling. • Supported large-scale annotation projects for AI development. • Maintained dataset integrity by following quality standards.

Working as a Junior Data Annotator, I annotated text, audio, and image datasets for machine learning and NLP applications. I categorized data and applied metadata tags to improve structure and training effectiveness. I assisted in preparing these datasets for AI training and evaluation workflows. • Oversaw data categorization and tagging using annotation platforms. • Enhanced NLP model performance with accurate data labeling. • Supported large-scale annotation projects for AI development. • Maintained dataset integrity by following quality standards.

2020 - 2021

Education

Work History