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A

Austyn West

AI Training & Data Annotation Specialist

USA flagDallas, Usa
ExpertOther

Key Skills

Software

Other

Top Subject Matter

Natural Language Processing (NLP)
Legal Services & Contract Review
Regulatory Compliance & Risk Analysis

Top Data Types

TextText
ImageImage
DocumentDocument

Top Task Types

ClassificationClassification

Freelancer Overview

AI Training & Data Annotation Specialist. Brings 2+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Other. Education includes Program in Software Engineering, Harvard University (2020). AI-training focus includes data types such as Text and labeling workflows including Classification, Evaluation, and Rating.

Expert

Labeling Experience

AI Training & Data Annotation Specialist

OtherTextClassification
As an AI Training & Data Annotation Specialist, I annotated and categorized text datasets to improve machine learning outputs. My responsibilities included evaluating AI-generated responses, applying labeling guidelines, and performing quality assurance. I contributed to refining datasets and optimizing AI performance with structured feedback. • Applied expert-level attention to detail across large volumes of data. • Performed consistency checks and corrected labeling errors. • Used defined protocols to ensure high-quality AI training data. • Collaborated remotely and adapted to diverse NLP and data tasks.

As an AI Training & Data Annotation Specialist, I annotated and categorized text datasets to improve machine learning outputs. My responsibilities included evaluating AI-generated responses, applying labeling guidelines, and performing quality assurance. I contributed to refining datasets and optimizing AI performance with structured feedback. • Applied expert-level attention to detail across large volumes of data. • Performed consistency checks and corrected labeling errors. • Used defined protocols to ensure high-quality AI training data. • Collaborated remotely and adapted to diverse NLP and data tasks.

2024 - Present

AI Output Evaluation Project

OtherText
As part of the AI Output Evaluation Project, I reviewed and scored AI-generated responses for quality, relevance, and coherence. I identified error patterns in model outputs and made actionable suggestions for improvement. My work directly contributed to model refinement and quality assurance initiatives. • Evaluated and rated text outputs based on detailed guidelines. • Identified and documented frequent errors by the AI model. • Provided structured feedback to the AI development team. • Helped enhance model evaluation processes for better AI performance.

As part of the AI Output Evaluation Project, I reviewed and scored AI-generated responses for quality, relevance, and coherence. I identified error patterns in model outputs and made actionable suggestions for improvement. My work directly contributed to model refinement and quality assurance initiatives. • Evaluated and rated text outputs based on detailed guidelines. • Identified and documented frequent errors by the AI model. • Provided structured feedback to the AI development team. • Helped enhance model evaluation processes for better AI performance.

2024 - 2024

Text Annotation Project

OtherTextClassification
On the Text Annotation Project, I labeled datasets for sentiment analysis and intent classification tasks. I ensured label uniformity, high accuracy, and consistency across substantial data volumes. The project supported improved natural language understanding for AI models. • Labeled and categorized text for different sentiment and intent. • Maintained labeling standards across all tasks. • Delivered high-accuracy results under tight deadlines. • Worked effectively with various annotation tools and guidelines.

On the Text Annotation Project, I labeled datasets for sentiment analysis and intent classification tasks. I ensured label uniformity, high accuracy, and consistency across substantial data volumes. The project supported improved natural language understanding for AI models. • Labeled and categorized text for different sentiment and intent. • Maintained labeling standards across all tasks. • Delivered high-accuracy results under tight deadlines. • Worked effectively with various annotation tools and guidelines.

2022 - 2023

Education

H

Harvard University

Program in Software Engineering, Software Engineering

Program in Software Engineering
2020 - 2020

Work History

N

N/A

Data Entry & Research Assistant

Dallas
2022 - 2023