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Eric Hersey

AI-Assisted Research Consultant – Data Labeling & Evaluation

USA flagRemote, Usa
$10.00/hrExpert

Key Skills

Software

No software listed

Top Subject Matter

STEM Research
Technical/Scientific Literature
Plasma Diagnostics

Top Data Types

TextText
DocumentDocument

Top Task Types

ClassificationClassification

Freelancer Overview

AI-Assisted Research Consultant – Data Labeling & Evaluation. Brings 13+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include OpenAI API, Internal, and Proprietary Tooling. Education includes Doctor of Philosophy, North Carolina State University (2020) and Master of Science, University of North Carolina at Chapel Hill (2016). AI-training focus includes data types such as Text, Document, and Computer Code and labeling workflows including Evaluation, Rating, and Classification.

ExpertEnglish

Labeling Experience

AI-Assisted Research Consultant – Data Labeling & Evaluation

Text
Leveraged large language models such as GPT-4 and Claude to analyze, label, and assess the accuracy and quality of scientific and technical texts. Assisted in the evaluation of literature, data validation, and technical claim verifications during client research projects. Labeled and summarized complex research outputs for training and assessment of AI models in STEM fields. • Applied advanced AI models to automate and improve literature review processes. • Labeled text according to scientific validity and accuracy standards. • Provided structured evaluation data for training and tuning language models. • Collaborated remotely to deliver high-quality labeled datasets to clients.

Leveraged large language models such as GPT-4 and Claude to analyze, label, and assess the accuracy and quality of scientific and technical texts. Assisted in the evaluation of literature, data validation, and technical claim verifications during client research projects. Labeled and summarized complex research outputs for training and assessment of AI models in STEM fields. • Applied advanced AI models to automate and improve literature review processes. • Labeled text according to scientific validity and accuracy standards. • Provided structured evaluation data for training and tuning language models. • Collaborated remotely to deliver high-quality labeled datasets to clients.

2021 - Present

Data Labeling & Curation Lead – Postdoctoral Research Fellow

DocumentClassification
Led the curation and meticulous labeling of plasma diagnostics datasets for machine learning model training at Princeton Plasma Physics Laboratory. Ensured dataset consistency, accuracy, and high labeling quality for complex scientific data. Authored clear Standard Operating Procedures (SOPs) to guarantee reproducibility in future labeling and curation workflows. • Managed document-level annotation projects for plasma physics ML initiatives. • Labeled data with technical expertise in plasma diagnostics and experimental measurements. • Developed SOPs and training materials for data curation and labeling accuracy. • Supervised and quality-checked the consistency of labeled data for AI models.

Led the curation and meticulous labeling of plasma diagnostics datasets for machine learning model training at Princeton Plasma Physics Laboratory. Ensured dataset consistency, accuracy, and high labeling quality for complex scientific data. Authored clear Standard Operating Procedures (SOPs) to guarantee reproducibility in future labeling and curation workflows. • Managed document-level annotation projects for plasma physics ML initiatives. • Labeled data with technical expertise in plasma diagnostics and experimental measurements. • Developed SOPs and training materials for data curation and labeling accuracy. • Supervised and quality-checked the consistency of labeled data for AI models.

2020 - 2021

Algorithm Output Labeler – Graduate Research Assistant

Designed and executed a project to label and rank algorithm outputs for efficiency and accuracy in computational physics research at North Carolina State University. Established a detailed evaluation rubric and labeled hundreds of code-generated outputs for training and benchmarking. The project provided critical data for quantitative assessment and optimization of numerical algorithms. • Labeled and ranked outputs from scientific computing algorithms and simulations. • Defined custom evaluation rubrics for algorithm performance assessment. • Contributed to AI model training via structured performance data labeling. • Generated labeled data sets supporting fair benchmarking and method selection.

Designed and executed a project to label and rank algorithm outputs for efficiency and accuracy in computational physics research at North Carolina State University. Established a detailed evaluation rubric and labeled hundreds of code-generated outputs for training and benchmarking. The project provided critical data for quantitative assessment and optimization of numerical algorithms. • Labeled and ranked outputs from scientific computing algorithms and simulations. • Defined custom evaluation rubrics for algorithm performance assessment. • Contributed to AI model training via structured performance data labeling. • Generated labeled data sets supporting fair benchmarking and method selection.

2019 - 2020

Education

N

North Carolina State University

Doctor of Philosophy, Computational Physics

Doctor of Philosophy
2014 - 2020
U

University of North Carolina at Chapel Hill

Master of Science, Physics

Master of Science
2014 - 2016

Work History

I

Independent Research Consultant

Research Consultant

Remote
2021 - Present
P

Princeton Plasma Physics Laboratory

Postdoctoral Research Fellow

Princeton
2020 - 2021