Patrick T Roussel

Key Skills

Software

Labelbox

CVAT

Prodigy

Top Subject Matter

Machine learning dataset development

AI training and dataset preparation

Legal Services & Contract Review

Top Data Types

Image

Video

Text

Document

Top Task Types

Classification

Freelancer Overview

I Patrick T. Roussel brings over a decade of hands-on experience in data labeling and AI training data preparation, supporting the development of high-performance machine learning models across multiple industries. I have worked extensively with diverse data types—including text, image, audio, and video—ensuring precise annotation, classification, and segmentation aligned with project-specific guidelines. My role as a Senior Data Labeling Specialist involved leading large-scale annotation projects, where I not only maintained high accuracy standards but also introduced quality control frameworks that significantly improved dataset reliability. My ability to collaborate closely with AI engineers has enabled the refinement of labeling strategies, directly contributing to improved model performance. What sets me apart is my strong technical background in computer science combined with practical expertise in tools such as Labelbox, CVAT, and Prodigy, as well as programming languages like Python and SQL. I have also developed automation scripts to streamline repetitive tasks, reducing turnaround time while maintaining quality. Additionally, my leadership experience in training and mentoring junior labelers, along with my deep understanding of data validation and bias mitigation, positions me as a highly dependable professional in AI data operations.

Labeling Experience

Senior Data Labeling Specialist, TechData Solutions Inc.

LabelboxImageClassification

Oversaw and executed large-scale data annotation projects for machine learning model development. Improved annotation accuracy and workflow efficiency by designing and enforcing robust quality control processes. Collaborated directly with AI engineers to ensure domain-specific labeling met all project guidelines. • Supervised and trained data labelers on best practices • Ensured high data accuracy for diverse AI training datasets • Used a variety of industry-standard data labeling tools • Drove continuous workflow and guideline improvements

Oversaw and executed large-scale data annotation projects for machine learning model development. Improved annotation accuracy and workflow efficiency by designing and enforcing robust quality control processes. Collaborated directly with AI engineers to ensure domain-specific labeling met all project guidelines. • Supervised and trained data labelers on best practices • Ensured high data accuracy for diverse AI training datasets • Used a variety of industry-standard data labeling tools • Drove continuous workflow and guideline improvements

2015 - Present

Data Analyst / Data Labeling Associate, Innovatech Systems

LabelboxImageClassification

Responsible for cleaning, labeling, and preprocessing data for training artificial intelligence models. Handled multiple types of raw data, including images, text, and video, to create structured datasets suitable for model development. Created scripts to automate and optimize the data labeling workflow. • Labeled and classified images, text, and video • Ensured annotation compliance with privacy standards • Automated repetitive tasks via scripting • Maintained data integrity throughout processing

Responsible for cleaning, labeling, and preprocessing data for training artificial intelligence models. Handled multiple types of raw data, including images, text, and video, to create structured datasets suitable for model development. Created scripts to automate and optimize the data labeling workflow. • Labeled and classified images, text, and video • Ensured annotation compliance with privacy standards • Automated repetitive tasks via scripting • Maintained data integrity throughout processing

2010 - 2015

Education

Work History