Ryan W.

Key Skills

Software

Scale AI

Appen

Lionbridge

Top Subject Matter

AI Content

Natural Language Processing

PRP Documentation

Top Data Types

Text

Document

Top Task Types

Classification

Freelancer Overview

Senior AI Content Analyst. Core strengths include Scale AI, Appen, and Lionbridge. Education includes Bachelor of Science, Carnegie Mellon University (2017). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

Senior AI Content Analyst

Scale AIText

In this role, I evaluated and refined AI-generated written outputs to improve response quality and contextual relevance. I conducted prompt-response analysis, annotated conversational data, and produced structured documentation for AI training systems. I collaborated closely with editors and researchers to ensure dataset consistency and supported quality standards in confidential projects. • Improved model accuracy through detailed annotation and prompt evaluation. • Produced workflow reports and structured PRP documentation for AI development teams. • Implemented standardized content review templates for evaluation efficiency. • Applied annotation guidelines to support the training of large language models.

2022 - Present

AI Response Quality Improvement Initiative

Text

This project involved reviewing and restructuring AI-generated training content for improved user comprehension. I developed evaluation notes and scoring frameworks and participated in cross-functional discussions on conversational AI optimization. I focused on consistency in content evaluation and quality improvement for model training. • Reviewed and scored AI-generated responses using structured frameworks. • Collaborated with diverse teams for content evaluation and optimization. • Enhanced consistency of annotated datasets for training purposes. • Contributed to the improvement of user comprehension in training content.

2023 - 2023

Conversational AI Annotation Project

TextClassification

In this project, I annotated large-scale conversational datasets to support machine learning model training. I evaluated prompt-response alignment, identified content inconsistencies, and maintained accuracy in evolving annotation guidelines. My work ensured the reliability and quality of training data for conversational AI applications. • Annotated conversational datasets for machine learning training. • Evaluated and aligned prompt-response pairs for consistency. • Maintained high accuracy in complex annotation guidelines. • Supported the development of high-quality AI conversational data.

2022 - 2022

AI Writing & Research Analyst

AppenTextClassification

In this position, I reviewed AI-generated content for grammar, factual accuracy, and clarity. I performed data categorization and linguistic annotation for machine learning projects and developed content guidelines for conversational AI systems. I balanced quality evaluation with feedback to improve training datasets and summary responses. • Conducted linguistic annotation for diverse machine learning projects. • Developed and enforced annotation guidelines for conversation systems. • Provided feedback to improve AI-generated summaries and analytical outputs. • Managed multiple concurrent annotation projects to ensure quality.

2020 - 2022

Content Writer & Quality Reviewer

LionbridgeTextClassification

I created and edited human-centered content for AI training programs and digital platforms. I evaluated written responses for coherence and compliance, assisted with content audits, and proofread technical documents. I collaborated with project leads to refine annotation standards and improve dataset quality. • Supported content audits and quality reviews for AI-generated text. • Proofread and formatted business and technical documentation. • Helped refine writing and annotation standards in AI projects. • Maintained high accuracy and productivity in labeling tasks.

2018 - 2019

Education