Shawn Downs

Key Skills

Software

Scale AI

Appen

Top Subject Matter

Large Language Models

Nlp Domain Expertise

Conversational AI

Top Data Types

Text

Image

Document

Top Task Types

Classification

Freelancer Overview

Senior AI Trainer & Data Annotation Specialist. Core strengths include Scale AI, Appen, and Amazon SageMaker. Education includes Master of Arts, University of California, Berkeley (2017) and Bachelor of Arts, University of California, Davis (2015). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

Senior AI Trainer & Data Annotation Specialist

Scale AIText

As a Senior AI Trainer & Data Annotation Specialist, I annotated, ranked, and validated large language model outputs and conversational AI responses. I worked extensively on data labeling projects involving text, audio, and video for NLP, speech recognition, and chatbot systems. My focus was on maintaining high data quality, supporting multilingual datasets, and improving AI model reliability. • Led LLM training and evaluation projects, annotating and ranking millions of AI responses. • Performed linguistic QA audits, achieving consistent 98–99% quality acceptance scores. • Delivered accurate audio and video transcription for speech datasets. • Supported translation QA and multilingual dataset validation for global AI programs.

As a Senior AI Trainer & Data Annotation Specialist, I annotated, ranked, and validated large language model outputs and conversational AI responses. I worked extensively on data labeling projects involving text, audio, and video for NLP, speech recognition, and chatbot systems. My focus was on maintaining high data quality, supporting multilingual datasets, and improving AI model reliability. • Led LLM training and evaluation projects, annotating and ranking millions of AI responses. • Performed linguistic QA audits, achieving consistent 98–99% quality acceptance scores. • Delivered accurate audio and video transcription for speech datasets. • Supported translation QA and multilingual dataset validation for global AI programs.

2023 - Present

Linguistic Quality Assurance & Media Annotation Analyst

AppenTextClassification

As a Linguistic Quality Assurance & Media Annotation Analyst, I performed data labeling and QA audits for social media, search, audio, and computer vision datasets. My efforts centered on enhancing label consistency and identifying annotation errors. I also played a key role in policy compliance and sentiment classification for AI moderation systems. • Conducted linguistic quality audits on annotated datasets for error detection. • Labeled social media content for sentiment, policy compliance, and context. • Performed search engine evaluation and query relevance rating projects. • Completed speech tagging, accent identification, and emotional tone detection tasks.

As a Linguistic Quality Assurance & Media Annotation Analyst, I performed data labeling and QA audits for social media, search, audio, and computer vision datasets. My efforts centered on enhancing label consistency and identifying annotation errors. I also played a key role in policy compliance and sentiment classification for AI moderation systems. • Conducted linguistic quality audits on annotated datasets for error detection. • Labeled social media content for sentiment, policy compliance, and context. • Performed search engine evaluation and query relevance rating projects. • Completed speech tagging, accent identification, and emotional tone detection tasks.

2021 - 2023

AI Data Analyst & STEM Content Validator

TextClassification

In my role as an AI Data Analyst & STEM Content Validator, I annotated and validated STEM-related training data, focusing on math reasoning and technical explanations. I reviewed AI-generated responses for accuracy and consistency while scaling large annotation projects. I contributed to refining annotation guidelines and participated in key AI evaluation projects. • Annotated and validated STEM-focused data including math and logic questions. • Reviewed AI-generated responses for quality and accuracy. • Assisted with annotation guideline improvements and dataset scaling. • Participated in AI evaluation to enhance model reasoning and answer accuracy.

In my role as an AI Data Analyst & STEM Content Validator, I annotated and validated STEM-related training data, focusing on math reasoning and technical explanations. I reviewed AI-generated responses for accuracy and consistency while scaling large annotation projects. I contributed to refining annotation guidelines and participated in key AI evaluation projects. • Annotated and validated STEM-focused data including math and logic questions. • Reviewed AI-generated responses for quality and accuracy. • Assisted with annotation guideline improvements and dataset scaling. • Participated in AI evaluation to enhance model reasoning and answer accuracy.

2018 - 2021

Education

Work History