Key Skills

Software

Labelbox

CVAT

Supervisely

Roboflow

Top Subject Matter

Computer Vision

Speech Recognition

Top Data Types

Image

Video

Audio

Top Task Types

Bounding Box

Polygon

Point Key Point

Segmentation

Tracking

Transcription

Freelancer Overview

AI Training Specialist. Core strengths include Labelbox, CVAT, and VIA. Education includes Bachelor of Science, Texas State University (2021) and High School Diploma, Lake Ridge High School (2016). AI-training focus includes data types such as Image, Video, and Audio and labeling workflows including Bounding Box, Polygon, and Point.

Labeling Experience

AI Training Specialist

LabelboxImageBounding BoxPolygon

As an AI Training Specialist at Vision Data Labs, I led annotation projects for computer vision and speech data, including object detection, segmentation, tracking, and speech transcription. I designed annotation guidelines, supervised teams, and implemented QA processes to ensure consistency and reliability in labeled datasets. My responsibilities included dataset management, error analysis, and close collaboration with ML engineers for continuous model improvements. • Annotated images and videos using bounding boxes, polygons, key points, and segmentation for tasks such as object detection and multi-object tracking. • Performed audio transcription and speaker labeling for speech data, utilizing time-aligned annotation workflows. • Utilized platforms including Labelbox, CVAT, VIA, Supervisely, and Roboflow, and managed dataset formats like COCO, YOLO, Pascal VOC, and TFRecord. • Drove QA processes, guideline creation, inter-annotator agreement checks, and feedback loops to enhance labeling quality and project outcomes.

As an AI Training Specialist at Vision Data Labs, I led annotation projects for computer vision and speech data, including object detection, segmentation, tracking, and speech transcription. I designed annotation guidelines, supervised teams, and implemented QA processes to ensure consistency and reliability in labeled datasets. My responsibilities included dataset management, error analysis, and close collaboration with ML engineers for continuous model improvements. • Annotated images and videos using bounding boxes, polygons, key points, and segmentation for tasks such as object detection and multi-object tracking. • Performed audio transcription and speaker labeling for speech data, utilizing time-aligned annotation workflows. • Utilized platforms including Labelbox, CVAT, VIA, Supervisely, and Roboflow, and managed dataset formats like COCO, YOLO, Pascal VOC, and TFRecord. • Drove QA processes, guideline creation, inter-annotator agreement checks, and feedback loops to enhance labeling quality and project outcomes.

2023 - 2026

Education

Work History