Key Skills

Software

Labelbox

Top Subject Matter

Computer Vision and Speech Recognition

Supervised Machine Learning

Top Data Types

Image

Top Task Types

Bounding Box

Segmentation

Freelancer Overview

AI Data Annotation Specialist. Core strengths include Labelbox. Education includes Master of Science, University of Texas at Austin (2021) and Bachelor of Science, Arizona State University (2019). AI-training focus includes data types such as Image and labeling workflows including Bounding Box and Segmentation.

Labeling Experience

AI Data Annotation Specialist

LabelboxImageBounding Box

As an AI Data Annotation Specialist, I was responsible for annotating images, videos, and audio data sets for machine learning model training. I performed bounding box, segmentation, and keypoint annotation for computer vision models, working frame by frame and supporting object tracking in video data. My contributions included quality assurance reviews and dataset structuring for machine learning pipelines. • Annotated and labeled datasets for AI model training using bounding box and segmentation methods. • Utilized object detection frameworks such as YOLO for improved training data and accuracy. • Conducted detailed video annotation, including object tracking and frame-by-frame labeling. • Prepared datasets to be machine-learning compatible and carried out quality assurance checks.

As an AI Data Annotation Specialist, I was responsible for annotating images, videos, and audio data sets for machine learning model training. I performed bounding box, segmentation, and keypoint annotation for computer vision models, working frame by frame and supporting object tracking in video data. My contributions included quality assurance reviews and dataset structuring for machine learning pipelines. • Annotated and labeled datasets for AI model training using bounding box and segmentation methods. • Utilized object detection frameworks such as YOLO for improved training data and accuracy. • Conducted detailed video annotation, including object tracking and frame-by-frame labeling. • Prepared datasets to be machine-learning compatible and carried out quality assurance checks.

2023 - Present

Data Labeling Analyst

LabelboxImageSegmentation

In my role as a Data Labeling Analyst, I managed annotation workflows for labeling images, videos, and audio clips to support supervised machine learning. I implemented semantic segmentation, classification annotations, and collaborated with ML engineers for dataset validation and corrections. I helped improve model training accuracy through consistent annotation guidelines. • Labeled thousands of images, videos, and audio clips for machine learning tasks. • Applied semantic segmentation and classification annotation techniques. • Used Labelbox and CVAT to streamline annotation and ensure workflow efficiency. • Assisted in dataset validation and error correction for improved accuracy.

In my role as a Data Labeling Analyst, I managed annotation workflows for labeling images, videos, and audio clips to support supervised machine learning. I implemented semantic segmentation, classification annotations, and collaborated with ML engineers for dataset validation and corrections. I helped improve model training accuracy through consistent annotation guidelines. • Labeled thousands of images, videos, and audio clips for machine learning tasks. • Applied semantic segmentation and classification annotation techniques. • Used Labelbox and CVAT to streamline annotation and ensure workflow efficiency. • Assisted in dataset validation and error correction for improved accuracy.

2022 - 2023

Education

Work History