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G

Geoge Shannon

Senior Data Annotation Specialist

USA flagGainesville, Usa
ExpertAppenLionbridgeOther

Key Skills

Software

AppenAppen
LionbridgeLionbridge
Other

Top Subject Matter

Financial news (NER)
Sentiment Analysis
Computer Vision

Top Data Types

TextText
ImageImage
AudioAudio
DocumentDocument

Top Task Types

Entity (NER) ClassificationEntity (NER) Classification
Bounding BoxBounding Box
TranscriptionTranscription

Freelancer Overview

Senior Data Annotation Specialist. Brings 2+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Appen, Lionbridge, and Other. Education includes Bachelor of Science, University of Florida (2020). AI-training focus includes data types such as Text, Image, and Audio and labeling workflows including Entity (NER) Classification, Bounding Box, and Transcription.

Expert

Labeling Experience

Appen

Senior Data Annotation Specialist

AppenTextEntity Ner Classification
As Senior Data Annotation Specialist at Appen, I handled daily annotation queues for NLP and computer vision projects. I led a major named entity recognition (NER) project, authored guidelines, and provided contractor training. I maintained a 98.5% quality score and contributed to regular ontology reviews. • Led annotation and guideline creation for over 200,000 tokens of financial news text • Identified and resolved labeling inconsistencies in sentiment datasets, improving IAA metrics • Contributed to guideline updates and trained 8 new contractors • Used CVAT, Labelbox, Scale AI, and internal tools across multiple projects

As Senior Data Annotation Specialist at Appen, I handled daily annotation queues for NLP and computer vision projects. I led a major named entity recognition (NER) project, authored guidelines, and provided contractor training. I maintained a 98.5% quality score and contributed to regular ontology reviews. • Led annotation and guideline creation for over 200,000 tokens of financial news text • Identified and resolved labeling inconsistencies in sentiment datasets, improving IAA metrics • Contributed to guideline updates and trained 8 new contractors • Used CVAT, Labelbox, Scale AI, and internal tools across multiple projects

2022 - Present
Lionbridge

Data Labeling Contractor

LionbridgeImageBounding Box
As a Data Labeling Contractor at Lionbridge AI (TELUS International), I completed diverse annotation tasks including image bounding boxes and segmentation. I achieved a rejection rate under 1.2% across over 50,000 annotation tasks. I was selected for a highly sensitive medical imaging project due to strong performance metrics. • Performed bounding box and segmentation tasks on images • Contributed to high-sensitivity medical imaging annotation • Assisted with onboarding and wrote FAQ documentation for new contractors • Used Labelbox, CVAT, and Scale AI for large annotation queues

As a Data Labeling Contractor at Lionbridge AI (TELUS International), I completed diverse annotation tasks including image bounding boxes and segmentation. I achieved a rejection rate under 1.2% across over 50,000 annotation tasks. I was selected for a highly sensitive medical imaging project due to strong performance metrics. • Performed bounding box and segmentation tasks on images • Contributed to high-sensitivity medical imaging annotation • Assisted with onboarding and wrote FAQ documentation for new contractors • Used Labelbox, CVAT, and Scale AI for large annotation queues

2020 - 2022

Research Assistant — Linguistics Lab

OtherAudioTranscription
As a Research Assistant in a linguistics lab, I supported the creation of a sociolinguistic audio corpus. I transcribed and tagged over 80 hours of spoken dialect audio data for research purposes. I also applied part-of-speech tagging and contributed to published academic work. • Transcribed audio from spoken dialect interviews • Contributed to part-of-speech tagging and dependency parsing • Supported inter-annotator agreement methodology • Used NLTK and spaCy for linguistic annotation tasks

As a Research Assistant in a linguistics lab, I supported the creation of a sociolinguistic audio corpus. I transcribed and tagged over 80 hours of spoken dialect audio data for research purposes. I also applied part-of-speech tagging and contributed to published academic work. • Transcribed audio from spoken dialect interviews • Contributed to part-of-speech tagging and dependency parsing • Supported inter-annotator agreement methodology • Used NLTK and spaCy for linguistic annotation tasks

2019 - 2020

Education

U

University of Florida

Bachelor of Science, Cognitive Science

Bachelor of Science
2016 - 2020

Work History

U

University of Florida

Research Assistant

Gainesville
2019 - 2020