Lexyl Epsilon

Key Skills

Software

Appen

Labelbox

Top Subject Matter

Nlp Domain Expertise

Generative AI

Multimodal AI Systems

Top Data Types

Text

Image

Document

Top Task Types

Classification

Entity Ner Classification

Freelancer Overview

Senior AI Data Specialist / AI Training Data Evaluator. Core strengths include Internal, Proprietary Tooling, and Appen. Education includes Bachelor of Science, University of Washington (2016). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

Senior AI Data Specialist / AI Training Data Evaluator

Text

In this role, I evaluated AI-generated text responses for accuracy, coherence, safety, and contextual relevance across large language models. I performed prompt evaluation, pairwise comparisons, and provided structured feedback to support model refinement. I also analyzed multimodal datasets (text, audio, video, image) and conducted machine-generated output correction for linguistic accuracy. • Maintained strict compliance with project-specific annotation guidelines. • Reviewed outputs to identify strengths and weaknesses in model responses. • Delivered high-quality, detailed feedback for AI research teams. • Worked across multiple distributed AI training programs.

In this role, I evaluated AI-generated text responses for accuracy, coherence, safety, and contextual relevance across large language models. I performed prompt evaluation, pairwise comparisons, and provided structured feedback to support model refinement. I also analyzed multimodal datasets (text, audio, video, image) and conducted machine-generated output correction for linguistic accuracy. • Maintained strict compliance with project-specific annotation guidelines. • Reviewed outputs to identify strengths and weaknesses in model responses. • Delivered high-quality, detailed feedback for AI research teams. • Worked across multiple distributed AI training programs.

2020 - Present

AI Content Reviewer & Data Annotation Specialist

AppenTextClassification

As an AI Content Reviewer and Data Annotation Specialist, I annotated datasets used to train machine learning models in NLP and content moderation. I reviewed AI-generated text outputs for grammar, tone, and contextual correctness, and categorized social media and multimedia content. I also reported errors and edge cases to engineering teams, improving data quality and model performance. • Conducted content categorization and classification on various data types. • Collaborated remotely with AI engineers and project managers. • Focused on identifying and addressing systematic errors within datasets. • Contributed to annotation guideline refinement and quality improvement.

As an AI Content Reviewer and Data Annotation Specialist, I annotated datasets used to train machine learning models in NLP and content moderation. I reviewed AI-generated text outputs for grammar, tone, and contextual correctness, and categorized social media and multimedia content. I also reported errors and edge cases to engineering teams, improving data quality and model performance. • Conducted content categorization and classification on various data types. • Collaborated remotely with AI engineers and project managers. • Focused on identifying and addressing systematic errors within datasets. • Contributed to annotation guideline refinement and quality improvement.

2018 - 2019

Data Annotation Analyst – Machine Learning Projects

LabelboxTextEntity Ner Classification

In this data annotation analyst position, I labeled and structured large training datasets for early-stage machine learning models. The work involved entity recognition, intent classification, sentiment tagging, and topic classification of text data. I also reviewed speech and audio data for training voice recognition systems, and developed experience with annotation tools. • Participated in preparing structured datasets for supervised learning. • Engaged in speech and audio data annotation to improve recognition accuracy. • Developed proficiency in various annotation software platforms. • Supported the dataset validation and quality assessment process.

In this data annotation analyst position, I labeled and structured large training datasets for early-stage machine learning models. The work involved entity recognition, intent classification, sentiment tagging, and topic classification of text data. I also reviewed speech and audio data for training voice recognition systems, and developed experience with annotation tools. • Participated in preparing structured datasets for supervised learning. • Engaged in speech and audio data annotation to improve recognition accuracy. • Developed proficiency in various annotation software platforms. • Supported the dataset validation and quality assessment process.

2016 - 2018

Education

Work History