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Anastasia Burton

AI Research Assistant – Voice & Data Annotation

USA flag
New York, Usa
ExpertOther

Key Skills

Software

Other

Top Subject Matter

Multimodal AI training/Voice dataset creation
Computational linguistics/NLP and voice annotation
Legal Services & Contract Review

Top Data Types

AudioAudio
ImageImage
TextText
DocumentDocument

Top Task Types

Audio Recording

Freelancer Overview

AI Research Assistant – Voice & Data Annotation. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Doctor of Philosophy, Columbia University (2021) and Master of Arts, University of Houston (2014). AI-training focus includes data types such as Audio and labeling workflows including Audio Recording.

Expert

Labeling Experience

AI Research Assistant – Voice & Data Annotation

OtherAudioAudio Recording
Produced over 500 audio recordings of spoken image descriptions for multimodal AI datasets. Ensured recordings were natural, contextually accurate, and semantically precise while maintaining uniform audio standards for AI model training. Collaborated with QA, engineers, and annotators to refine processes, documentation, and dataset quality.• Maintained 98%+ compliance with QA standards and reduced corrections by 35%. • Developed style guides and reference materials for onboarding annotators. • Delivered structured datasets in CSV, JSON, and WAV formats for supervised learning. • Supported pilot projects pairing spoken captions with visual content.

Produced over 500 audio recordings of spoken image descriptions for multimodal AI datasets. Ensured recordings were natural, contextually accurate, and semantically precise while maintaining uniform audio standards for AI model training. Collaborated with QA, engineers, and annotators to refine processes, documentation, and dataset quality.• Maintained 98%+ compliance with QA standards and reduced corrections by 35%. • Developed style guides and reference materials for onboarding annotators. • Delivered structured datasets in CSV, JSON, and WAV formats for supervised learning. • Supported pilot projects pairing spoken captions with visual content.

2023 - Present

Graduate Research Associate – Computational Linguistics

OtherAudioAudio Recording
Designed and executed annotation experiments comparing AI-generated voice outputs to human-recorded speech for NLP model evaluation. Built custom datasets of annotated voice recordings paired with image descriptions for multimodal learning projects. Provided training, standardization, and data quality review for collaborative AI research groups.• Refined and standardized data quality metrics for linguistic accuracy. • Trained students and peers in annotation and dataset construction. • Published peer-reviewed articles on discourse clarity and dataset design. • Collaborated on NLP preprocessing pipelines and dataset validation.

Designed and executed annotation experiments comparing AI-generated voice outputs to human-recorded speech for NLP model evaluation. Built custom datasets of annotated voice recordings paired with image descriptions for multimodal learning projects. Provided training, standardization, and data quality review for collaborative AI research groups.• Refined and standardized data quality metrics for linguistic accuracy. • Trained students and peers in annotation and dataset construction. • Published peer-reviewed articles on discourse clarity and dataset design. • Collaborated on NLP preprocessing pipelines and dataset validation.

2021 - 2022

Education

C

Columbia University

Doctor of Philosophy, Linguistics and Computational Communication

Doctor of Philosophy
2017 - 2021
U

University of Houston

Master of Arts, English – Language and Digital Communication

Master of Arts
2012 - 2014

Work History

C

Columbia University

Graduate Research Associate – Computational Linguistics

New York
2021 - 2022