Christopher W.

Key Skills

Software

Labelbox

Other

Top Subject Matter

Computer Vision

Llm Domain Expertise

AI Data Quality

Top Data Types

Image

Text

Document

Top Task Types

Bounding Box

Classification

Freelancer Overview

Freelance Data Annotator. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelbox, Other, and Internal. Education includes Bachelor of Arts, University of Central Florida (2020). AI-training focus includes data types such as Image and Text and labeling workflows including Bounding Box and Classification.

Labeling Experience

Freelance Data Annotator

LabelboxImageBounding Box

As a freelance data annotator, I performed object tagging and bounding box placement on images for computer vision model training. I evaluated model outputs for safety, compliance, and accuracy within LLMs and vision projects. I also contributed to data augmentation and refinement of annotation guidelines for improved data quality. • Tagged objects and annotated images using bounding boxes. • Evaluated AI model responses for truthfulness and safety. • Augmented and transformed data to support machine learning. • Collaborated with project managers to clarify labeling requirements.

2022 - Present

Virtual Research Assistant

OtherTextClassification

As a virtual research assistant, I managed large-scale text data collection and executed content labeling for market research projects. I performed content categorization and ensured quality control for AI training datasets. I improved functionality of internal tools by tagging and evaluating text content. • Gathered, labeled, and categorized large volumes of text data. • Conducted quality assurance to eliminate duplicates and inconsistencies. • Evaluated and tagged data to enhance internal AI search tools. • Supported team goals through consistent labeling performance.

2020 - 2021

Customer Support Representative (Data Labeling)

TextClassification

As a customer support representative, I labeled intents and sentiments in customer communications to train internal chatbots. I classified support tickets to assist with bug identification and process optimization. My labeling contributed directly to the improvement of AI-driven customer support services. • Labeled and classified text for chatbot intent detection. • Annotated sentiment in support messages for AI training. • Assisted in identifying software issues through categorization. • Enhanced support processes by improving chatbot accuracy.

2018 - 2020

Education

Work History