Ronnie Alexander

Key Skills

Software

Prodigy

Data Annotation Tech

Remotasks

Telus

Toloka

Google Cloud Vertex AI

Top Subject Matter

Linguistics Domain Expertise

Discourse Analysis

Text Classification

Top Data Types

Text

Video

Audio

Top Task Types

Classification

Entity (NER) Classification

Text Generation

Text Summarization

Transcription

Evaluation/Rating

Data Collection

Question Answering

Object Detection

Freelancer Overview

Associate Professor of English — Stanford University. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Label Studio, Prodigy, and Excel. Education includes Doctor of Philosophy, Harvard University (2019) and Master of Arts, Columbia University (2014). AI-training focus includes data types such as Text and labeling workflows including Classification, Evaluation, and Rating.

Labeling Experience

Associate Professor of English — Stanford University

Label StudioTextClassification

Led large-scale text annotation projects focused on discourse analysis, semantic labeling, and classification of research datasets. Designed and implemented data validation frameworks to ensure dataset consistency and reliability. Supervised annotation and quality assurance of text corpora within academic and research workflows. • Managed and structured high-quality annotated datasets for AI model training • Applied linguistic expertise to improve data labeling accuracy • Integrated generative AI tools into labeling and evaluation processes • Utilized Label Studio and Prodigy for annotation work

Led large-scale text annotation projects focused on discourse analysis, semantic labeling, and classification of research datasets. Designed and implemented data validation frameworks to ensure dataset consistency and reliability. Supervised annotation and quality assurance of text corpora within academic and research workflows. • Managed and structured high-quality annotated datasets for AI model training • Applied linguistic expertise to improve data labeling accuracy • Integrated generative AI tools into labeling and evaluation processes • Utilized Label Studio and Prodigy for annotation work

2022 - Present

AI & Data Labeling/Training Projects

Label StudioText

Annotated and labeled text datasets for NLP model development and generative AI training. Evaluated AI-generated outputs for accuracy, coherence, and alignment with task requirements. Designed tagging systems and generated training data using prompt engineering techniques for language models. • Performed data validation, error detection, and quality control on labeled datasets • Contributed annotated datasets for fine-tuning LLMs and NLP systems • Utilized Label Studio, Prodigy, and ChatGPT for training and evaluation workflows • Specialized in prompt engineering for generative AI data preparation

Annotated and labeled text datasets for NLP model development and generative AI training. Evaluated AI-generated outputs for accuracy, coherence, and alignment with task requirements. Designed tagging systems and generated training data using prompt engineering techniques for language models. • Performed data validation, error detection, and quality control on labeled datasets • Contributed annotated datasets for fine-tuning LLMs and NLP systems • Utilized Label Studio, Prodigy, and ChatGPT for training and evaluation workflows • Specialized in prompt engineering for generative AI data preparation

2018 - Present

Assistant Professor of English — University of Michigan

Label StudioTextClassification

Built and curated structured and unstructured text datasets for interdisciplinary research and AI projects. Performed manual annotation and labeling for linguistic and communication datasets, ensuring high standards of accuracy and reproducibility. Collaborated on digital projects leveraging AI-assisted content systems within educational domains. • Conducted comprehensive data validation and quality control tasks • Supported dataset creation for NLP and academic purposes • Utilized Label Studio and Prodigy to annotate and classify text data • Enhanced dataset usability for downstream research applications

Built and curated structured and unstructured text datasets for interdisciplinary research and AI projects. Performed manual annotation and labeling for linguistic and communication datasets, ensuring high standards of accuracy and reproducibility. Collaborated on digital projects leveraging AI-assisted content systems within educational domains. • Conducted comprehensive data validation and quality control tasks • Supported dataset creation for NLP and academic purposes • Utilized Label Studio and Prodigy to annotate and classify text data • Enhanced dataset usability for downstream research applications

2020 - 2022

Senior Editorial Consultant — Pearson Education

Label StudioTextClassification

Labeled, tagged, and validated large-scale educational content datasets for digital and AI-driven learning platforms. Performed quality assurance checks and optimized labeled data for downstream usability in machine learning applications. Worked closely with cross-functional teams managing structured content systems for education technology. • Ensured high accuracy and consistency of labeled educational content • Facilitated integration of labeled datasets with digital learning tools • Applied validation and tagging techniques to improve dataset quality • Used Excel, Google Sheets, and Label Studio for content annotation

Labeled, tagged, and validated large-scale educational content datasets for digital and AI-driven learning platforms. Performed quality assurance checks and optimized labeled data for downstream usability in machine learning applications. Worked closely with cross-functional teams managing structured content systems for education technology. • Ensured high accuracy and consistency of labeled educational content • Facilitated integration of labeled datasets with digital learning tools • Applied validation and tagging techniques to improve dataset quality • Used Excel, Google Sheets, and Label Studio for content annotation

2018 - 2020

Education

Work History