Key Skills

Software

Appen

Scale AI

Labelbox

Top Subject Matter

Autonomous Driving/Automotive

Automotive/AI Training

Autonomous Driving/Urban Mobility

Top Data Types

Image

3D Sensor

Top Task Types

Bounding Box

Segmentation

Classification

Freelancer Overview

Data Labeling Specialist. Core strengths include Appen, Scale AI, and Labelbox. Education includes Associate of Science, Northern Virginia Community College (2021). AI-training focus includes data types such as Image and 3D Sensor and labeling workflows including Bounding Box, Segmentation, and Classification.

Labeling Experience

Data Labeling Specialist

AppenImageBounding Box

As a Data Labeling Specialist at Appen, I annotated large-scale image and video datasets specifically for autonomous driving models. My responsibilities included applying bounding boxes and segmentation techniques to identify vehicles, pedestrians, and road signs. I consistently delivered high-accuracy outputs through rigorous quality control practices. • Applied annotation guidelines to diverse urban and highway imagery • Collaborated with QA teams to refine annotation standards • Conducted data validation and error correction • Utilized tools like Labelbox, CVAT, and Supervisely for effective annotation

As a Data Labeling Specialist at Appen, I annotated large-scale image and video datasets specifically for autonomous driving models. My responsibilities included applying bounding boxes and segmentation techniques to identify vehicles, pedestrians, and road signs. I consistently delivered high-accuracy outputs through rigorous quality control practices. • Applied annotation guidelines to diverse urban and highway imagery • Collaborated with QA teams to refine annotation standards • Conducted data validation and error correction • Utilized tools like Labelbox, CVAT, and Supervisely for effective annotation

2023 - Present

AI Data Annotator

Scale AI3D SensorSegmentation

As an AI Data Annotator with Scale AI, I labeled sensor and camera data to train machine learning models used in automotive applications. The work involved segmentation of LiDAR datasets to identify objects and complex urban features. Attention to quality and detail was maintained through ongoing validation and correction cycles. • Worked with both 3D sensor and image data • Performed object identification and classification • Met tight deadlines for dataset delivery • Used annotation tools such as CVAT, Labelbox, and Supervisely

As an AI Data Annotator with Scale AI, I labeled sensor and camera data to train machine learning models used in automotive applications. The work involved segmentation of LiDAR datasets to identify objects and complex urban features. Attention to quality and detail was maintained through ongoing validation and correction cycles. • Worked with both 3D sensor and image data • Performed object identification and classification • Met tight deadlines for dataset delivery • Used annotation tools such as CVAT, Labelbox, and Supervisely

2021 - 2022

Image Classification Project

LabelboxImageClassification

In the Image Classification Project, I categorized thousands of images to support the development of AI systems. My role required ensuring consistency and adherence to labeling standards for effective dataset training. Quality and proper annotation practices were upheld throughout the project. • Classified images into distinct categories for AI training • Ensured quality control and dataset integrity • Contributed to standardization of labeling practices • Played a role in enhancing AI classification model accuracy

In the Image Classification Project, I categorized thousands of images to support the development of AI systems. My role required ensuring consistency and adherence to labeling standards for effective dataset training. Quality and proper annotation practices were upheld throughout the project. • Classified images into distinct categories for AI training • Ensured quality control and dataset integrity • Contributed to standardization of labeling practices • Played a role in enhancing AI classification model accuracy

Not specified

Autonomous Driving Dataset Annotation Project

LabelboxImageClassification

On the Autonomous Driving Dataset Annotation Project, I labeled complex images featuring urban scenarios for training object detection models. My work involved labeling traffic signals, pedestrians, and lane markings to ensure detailed and comprehensive training data. The accuracy and diversity of labels improved overall model performance. • Labeled thousands of images covering a variety of scenarios • Maintained consistency across labels following standards • Improved detection of challenging urban features • Enhanced quality of the dataset for autonomous vehicle research

On the Autonomous Driving Dataset Annotation Project, I labeled complex images featuring urban scenarios for training object detection models. My work involved labeling traffic signals, pedestrians, and lane markings to ensure detailed and comprehensive training data. The accuracy and diversity of labels improved overall model performance. • Labeled thousands of images covering a variety of scenarios • Maintained consistency across labels following standards • Improved detection of challenging urban features • Enhanced quality of the dataset for autonomous vehicle research

Not specified

Education

Work History