Emily Smith

Key Skills

Software

Labelbox

CVAT

Top Subject Matter

AI Model Training (General use, Chatbots, Computer Vision, NLP)

Data Preparation and Quality Assurance for Machine Learning

AI Chatbot Training

Top Data Types

Text

Image

Top Task Types

Classification

Entity Ner Classification

Object Detection

Freelancer Overview

AI Data Annotator / Data Specialist. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelbox, Excel, and CVAT. Education includes Bachelor of Science, N/A. AI-training focus includes data types such as Text and Image and labeling workflows including Classification, Entity (NER) Classification, and Object Detection.

Labeling Experience

Sentiment Analysis Data Labeler (Project)

TextClassification

Classified customer feedback data to support training NLP models for sentiment analysis tasks. Labeled text data based on emotional valence and sentiment categories. Provided high-quality, consistent sentiment labels used for model improvement. • Categorized large batches of feedback data efficiently. • Maintained labeling consistency across multiple sessions. • Used Excel and internal toolsets for managing the classification workflow. • Worked with project leads to define sentiment categories and labeling rules.

Classified customer feedback data to support training NLP models for sentiment analysis tasks. Labeled text data based on emotional valence and sentiment categories. Provided high-quality, consistent sentiment labels used for model improvement. • Categorized large batches of feedback data efficiently. • Maintained labeling consistency across multiple sessions. • Used Excel and internal toolsets for managing the classification workflow. • Worked with project leads to define sentiment categories and labeling rules.

2021 - Present

Image Annotation Specialist (Project)

CVATImageObject Detection

Annotated objects and regions in images for training computer vision AI models focused on object detection. Used tools and guidelines for precise, high-quality image annotation. Enhanced the model's visual recognition capability through accurate labeling. • Applied bounding box and segmentation techniques as needed. • Labeled large volumes of images for diverse computer vision tasks. • Delivered image datasets meeting stringent quality standards. • Used Labelbox and CVAT for effective annotation management.

Annotated objects and regions in images for training computer vision AI models focused on object detection. Used tools and guidelines for precise, high-quality image annotation. Enhanced the model's visual recognition capability through accurate labeling. • Applied bounding box and segmentation techniques as needed. • Labeled large volumes of images for diverse computer vision tasks. • Delivered image datasets meeting stringent quality standards. • Used Labelbox and CVAT for effective annotation management.

2021 - Present

Chatbot Training Data Labeler (Project)

LabelboxTextEntity Ner Classification

Labeled conversational datasets to improve chatbot understanding of user intent and response accuracy. Applied NLP basics and annotation techniques for text-based AI chatbot training. Ensured labeled data effectively enhanced intent recognition. • Annotated data for intent identification and entity recognition. • Supported training pipelines for conversational AI projects. • Participated in defining guidelines for chatbot data labeling. • Used Excel and Labelbox for annotation and tracking.

Labeled conversational datasets to improve chatbot understanding of user intent and response accuracy. Applied NLP basics and annotation techniques for text-based AI chatbot training. Ensured labeled data effectively enhanced intent recognition. • Annotated data for intent identification and entity recognition. • Supported training pipelines for conversational AI projects. • Participated in defining guidelines for chatbot data labeling. • Used Excel and Labelbox for annotation and tracking.

2021 - Present

AI Data Annotator / Data Specialist

LabelboxTextClassification

Labeled and annotated text, image, and audio datasets to train machine learning and AI models for various applications. Ensured data quality and consistency by conducting rigorous quality assurance checks throughout the labeling process. Collaborated with project teams to adhere to best practices in ethical AI and maintain data privacy standards. • Utilized tools such as Labelbox, CVAT, Excel, and Google Sheets. • Improved dataset accuracy by more than 25% through thorough validation practices. • Refined annotation guidelines together with AI engineers and project managers. • Managed large labeling projects remotely and delivered high-quality training data.

Labeled and annotated text, image, and audio datasets to train machine learning and AI models for various applications. Ensured data quality and consistency by conducting rigorous quality assurance checks throughout the labeling process. Collaborated with project teams to adhere to best practices in ethical AI and maintain data privacy standards. • Utilized tools such as Labelbox, CVAT, Excel, and Google Sheets. • Improved dataset accuracy by more than 25% through thorough validation practices. • Refined annotation guidelines together with AI engineers and project managers. • Managed large labeling projects remotely and delivered high-quality training data.

2021 - Present

Data Entry & Quality Assurance Specialist

TextClassification

Assisted in preparing, processing, and managing large structured and unstructured datasets for machine learning and analytics purposes. Conducted verification and correction of data inconsistencies to ensure datasets' readiness for downstream AI training. Maintained high standards of data accuracy and cleanliness across all handled projects. • Processed and validated data using Excel and Google Sheets. • Achieved accuracy rates above 98% consistently during verification tasks. • Supported creating and formatting datasets for analytics and model training workflows. • Delivered data preparation tasks on schedule for various clients and projects.

Assisted in preparing, processing, and managing large structured and unstructured datasets for machine learning and analytics purposes. Conducted verification and correction of data inconsistencies to ensure datasets' readiness for downstream AI training. Maintained high standards of data accuracy and cleanliness across all handled projects. • Processed and validated data using Excel and Google Sheets. • Achieved accuracy rates above 98% consistently during verification tasks. • Supported creating and formatting datasets for analytics and model training workflows. • Delivered data preparation tasks on schedule for various clients and projects.

2019 - 2020

Education

Work History