Stephen Scroggins

Key Skills

Software

Labelbox

Top Subject Matter

No subject matter listed

Top Data Types

Image

Top Label Types

Bounding Box

Point Key Point

Segmentation

Classification

Tracking

Freelancer Overview

I am an experienced AI training specialist with over 4 years of hands-on expertise in data labeling and annotation for images, videos, and audio datasets. My background includes preparing high-quality training data for machine learning, computer vision, and speech recognition models, ensuring accuracy and consistency throughout the annotation process. I am skilled in using tools such as Labelbox, YOLO, and various image, video, and audio annotation platforms. My experience covers object detection, segmentation, tracking, and transcription tasks, and I work closely with QA teams to improve dataset quality and model performance. I am committed to following strict annotation guidelines and delivering reliable data for AI projects.

Labeling Experience

Computer Vision Data Annotation for Object Detection & Tracking

LabelboxImageBounding BoxPoint Key Point

Worked on large-scale data labeling and annotation projects focused on computer vision and AI model training. Responsibilities included annotating images and videos using bounding boxes, polygons, key points, and segmentation masks for object detection and tracking tasks. Performed frame-by-frame video annotation and ensured consistency across datasets. Also contributed to audio labeling and transcription for speech recognition models. Maintained strict quality control standards, followed detailed annotation guidelines, and collaborated with QA teams to ensure high accuracy and reliability of training data.

Worked on large-scale data labeling and annotation projects focused on computer vision and AI model training. Responsibilities included annotating images and videos using bounding boxes, polygons, key points, and segmentation masks for object detection and tracking tasks. Performed frame-by-frame video annotation and ensured consistency across datasets. Also contributed to audio labeling and transcription for speech recognition models. Maintained strict quality control standards, followed detailed annotation guidelines, and collaborated with QA teams to ensure high accuracy and reliability of training data.

2022 - 2024

Education

Work History