Key Skills

Software

Labelbox

Roboflow

Top Subject Matter

Computer Vision (Surveillance, Human Activity Recognition)

Computer Vision (Traffic Analysis, Sports Events)

Speech Recognition

Top Data Types

Video

Image

Audio

Top Task Types

Object Detection

Segmentation

Transcription

Freelancer Overview

AI Training Specialist / Data Labeling Annotator (Video). Core strengths include Labelbox, Roboflow, and Audacity. Education includes Associate Degree, University of Washington (2022) and Non-Degree Coursework, University of California, Berkeley (2020). AI-training focus includes data types such as Video, Image, and Audio and labeling workflows including Object Detection, Segmentation, and Transcription.

Labeling Experience

AI Training Specialist / Data Labeling Annotator (Audio)

AudioTranscription

I transcribed and annotated large volumes of audio data to create training sets for speech recognition AI. My role included speech-to-text transcription and tagging of audio samples for classification purposes. I applied thorough QA measures to enhance dataset validity and reduce transcription errors. • Use of Audacity and Supervisely for audio annotation • Experience handling diverse audio inputs in speech AI contexts • Cleaning and validating audio datasets for model pipelines • Meticulous attention to labeling detail and error prevention

I transcribed and annotated large volumes of audio data to create training sets for speech recognition AI. My role included speech-to-text transcription and tagging of audio samples for classification purposes. I applied thorough QA measures to enhance dataset validity and reduce transcription errors. • Use of Audacity and Supervisely for audio annotation • Experience handling diverse audio inputs in speech AI contexts • Cleaning and validating audio datasets for model pipelines • Meticulous attention to labeling detail and error prevention

2023 - Present

AI Training Specialist / Data Labeling Annotator (Image)

RoboflowImageSegmentation

I created segmentation masks and bounding boxes for image datasets designed for AI training in computer vision. I contributed to multi-object detection and classification tasks supporting model development workflows. I maintained strict adherence to annotation guidelines to ensure accurate training data. • Prepared datasets in YOLO-compatible formats • Used tools such as Labelbox, CVAT, Supervisely, and Roboflow • Handled images for traffic analysis and sports event detection • Consistent enforcement of quality and labeling standards

I created segmentation masks and bounding boxes for image datasets designed for AI training in computer vision. I contributed to multi-object detection and classification tasks supporting model development workflows. I maintained strict adherence to annotation guidelines to ensure accurate training data. • Prepared datasets in YOLO-compatible formats • Used tools such as Labelbox, CVAT, Supervisely, and Roboflow • Handled images for traffic analysis and sports event detection • Consistent enforcement of quality and labeling standards

2023 - Present

AI Training Specialist / Data Labeling Annotator (Video)

LabelboxVideoObject Detection

I annotated large-scale video datasets for AI model training, focusing on object detection and tracking tasks. My work involved preparing high-quality datasets for computer vision systems using YOLO formatting. I ensured consistent labeling standards and performed QA reviews for improved dataset accuracy. • Frame-by-frame object tracking and bounding box annotation • Support for surveillance and human activity recognition use cases • Use of tools like Labelbox, CVAT, and Supervisely for efficient video labeling • Quality assurance checks to minimize labeling errors

I annotated large-scale video datasets for AI model training, focusing on object detection and tracking tasks. My work involved preparing high-quality datasets for computer vision systems using YOLO formatting. I ensured consistent labeling standards and performed QA reviews for improved dataset accuracy. • Frame-by-frame object tracking and bounding box annotation • Support for surveillance and human activity recognition use cases • Use of tools like Labelbox, CVAT, and Supervisely for efficient video labeling • Quality assurance checks to minimize labeling errors

2023 - Present

Education

Work History