Joseph B.

Key Skills

Software

Labelbox

CVAT

Clickworker

Top Subject Matter

Machine learning datasets for autonomous vehicles

facial recognition

surveillance/motion tracking

Top Data Types

Image

Video

Audio

Text

Document

Top Task Types

Bounding Box

Polygon

Segmentation

Tracking

Transcription

Freelancer Overview

AI Training Specialist / Data Annotation Expert (Freelance AI Training Projects). Core strengths include Labelbox, YOLO, and CVAT. Education includes Bachelor of Science, The University of Alabama (2022). AI-training focus includes data types such as Image, Video, and Audio and labeling workflows including Bounding Box, Polygon, and Segmentation.

Labeling Experience

AI Training Specialist / Data Annotation Expert (Freelance AI Training Projects)

LabelboxImageBounding BoxPolygon

Freelance AI Training Specialist responsible for producing high-quality labeled datasets for machine learning and computer vision use cases. Work included image, video, and audio annotation with consistency checks to support reliable model training. Tools and workflows covered bounding boxes, polygons, semantic segmentation, object tracking, and OCR/audio transcription labeling across multiple project domains. • Performed bounding box and polygon annotations in Labelbox, YOLO, and CVAT. • Completed semantic segmentation and object tracking labeling for vision datasets. • Conducted QA reviews for annotation consistency and guideline compliance. • Labeled audio speech content for NLP and speech recognition tasks, including transcription workflows.

2023 - Present

Image Annotation Specialist – Computer Vision & Object Detection

ImageBounding Box

Worked on large-scale image annotation projects for machine learning and computer vision applications involving object detection, image classification, facial recognition, and semantic segmentation. Performed bounding box annotation, polygon labeling, keypoint annotation, OCR labeling, and image segmentation for datasets containing vehicles, pedestrians, consumer products, traffic signs, and facial recognition data. Used annotation tools such as Labelbox, CVAT, and YOLO to prepare high-quality datasets for AI model training. Conducted dataset validation and quality assurance checks to ensure annotation consistency, accuracy, and compliance with project guidelines. Collaborated with AI development teams to improve data quality and optimize model training performance.

2022 - Present

Video Annotation Specialist – Object Tracking & Surveillance AI

VideoBounding Box

Worked on AI video annotation projects involving object tracking, motion detection, activity recognition, and semantic segmentation for computer vision models. Annotated moving objects including pedestrians, vehicles, traffic signals, and monitored activities across surveillance and autonomous driving datasets. Performed frame-by-frame video labeling, bounding box tracking, polygon annotation, and action/event tagging using CVAT, Labelbox, and YOLO tools. Ensured annotation consistency and accuracy by following strict quality assurance guidelines and conducting validation reviews before dataset submission. Assisted AI teams in improving training data quality for real-time object detection and tracking systems.

2022 - 2025

AI Data Annotation Specialist – Computer Vision & NLP Projects

TextClassification

Worked on multiple AI training and data annotation projects involving text, image, video, and audio datasets for machine learning and computer vision applications. Responsibilities included text classification, sentiment analysis, entity recognition, OCR labeling, image segmentation, bounding box annotation, polygon annotation, object tracking, and audio transcription. Supported projects related to autonomous vehicle object detection, facial recognition systems, surveillance monitoring, e-commerce product classification, and speech recognition models. Managed and annotated large-scale datasets while following strict client guidelines and quality assurance standards. Performed data validation, consistency checks, and error correction to improve annotation accuracy and AI model performance. Used annotation tools including Labelbox, CVAT, and YOLO to maintain high-quality outputs and meet project deadlines efficiently.

2022 - 2025

Education

Work History