Emily T.

Key Skills

Software

Other

Labelbox

Appen

Top Subject Matter

NLP dataset annotation (text classification, sentiment, NER, intent, content moderation)

Multi-modal AI data annotation (images and text)

AI annotation for text and transcription (classification, NER, moderation)

Top Data Types

Text

Image

Top Task Types

Classification

Entity (NER) Classification

Freelancer Overview

Freelance AI Data Annotator (Upwork/Remote). Core strengths include Other, Labelbox, and Appen. Education includes Bachelor of Science, University Of Nigeria (2022). AI-training focus includes data types such as Text and Image and labeling workflows including Classification and Entity (NER) Classification.

Labeling Experience

AI Data Annotator (Appen)

AppenTextEntity (NER) Classification

Performed text classification, data categorization, tagging, and content moderation tasks to ensure high-quality data for AI development. Engaged in audio transcription and Named Entity Recognition (NER) tasks, demonstrating efficiency and accuracy. Applied strict guideline adherence to improve the reliability of annotated outputs. • Labeled and categorized text for classification and tagging • Moderated content using dataset labeling criteria • Completed transcription outputs and integrated NER annotations • Focused on accuracy, efficiency, and quality control

2025 - Present

AI annotation contributor (Labelbox)

LabelboxImageClassification

Contributed to AI model training through accurate annotation of diversified datasets, including images and text. Performed labeling activities aligned with project instructions to support model learning objectives. Delivered annotations intended to improve dataset quality and model readiness. • Produced image and text annotations as required by tasks • Applied labeling according to provided guidelines • Supported training dataset preparation for AI models • Ensured annotation consistency and completeness

2023 - 2035

Freelance AI Data Annotator (Upwork/Remote)

OtherTextClassification

Completed text classification and sentiment analysis tasks to support NLP model training while maintaining above 95% accuracy. Annotated labeled datasets for named entity recognition (NER), intent detection, and content moderation to improve downstream model performance. Followed task guidelines to ensure consistent annotation quality across multiple client projects. • Labeled text for sentiment and classification use cases • Created annotations for NER and intent detection • Applied content moderation labels for dataset curation • Maintained quality checks to sustain >95% accuracy

2023 - 2024

Education

Work History