Martin S.

Key Skills

Software

Don't disclose

Other

Top Subject Matter

Computer science/technical English for LLMs

Algorithm explanations and software engineering technical content

AI dataset creation

Top Data Types

Text

Top Task Types

Fine-tuning

Data Collection

Freelancer Overview

AI Data Specialist, Oak Ridge National Laboratory – AI Research Partnership (Remote). Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose, Python (Pandas, and NumPy. Education includes Master of Science, East Tennessee State University (2022). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Fine-tuning.

Labeling Experience

AI Data Specialist, Oak Ridge National Laboratory – AI Research Partnership (Remote)

Don't discloseText

Annotated and validated technical computing records to train large language models for English-language performance. Conducted quality audits of AI-generated code explanations and technical documentation against domain standards. Performed bias and factual accuracy reviews across diverse datasets to ensure reliable outputs for technical audiences. • Created custom annotation guidelines and quality rubrics. • Improved inter-annotator agreement from 78% to 94% via structured guidance. • Reduced hallucinations by 41% while achieving 96% adherence to domain standards. • Contributed structured feedback loops that supported multiple model iteration cycles.

2023 - 2024

Data Scientist, East Tennessee State University Research Center

TextFine-tuning

Designed and managed machine learning datasets for algorithm explanations and software engineering topics. Evaluated and refined AI-generated technical content by improving readability and domain accuracy. Analyzed model performance metrics and recommended targeted improvements to elevate English content quality ratings. • Built Python-based automation scripts to reduce data preprocessing time by 52% while maintaining 98% integrity. • Partnered with faculty on AI-assisted research projects to produce publishable datasets used in two conference papers. • Curated and maintained datasets exceeding 12,000 entries. • Supported iterative improvement through performance benchmarking and metric-driven recommendations.

2021 - 2023

Adjunct Instructor – Computer Science, East Tennessee State University

Don't discloseText

Delivered coursework that included hands-on AI data labeling and content evaluation modules. Provided detailed feedback on technical reports and coding assignments focused on clarity and precision in English technical communication. Mentored students on capstone projects involving real AI dataset creation and model improvement tasks. • Developed labeling and content evaluation teaching modules improving student success by 22%. • Reviewed 250+ technical reports and assignments with English communication emphasis. • Designed curriculum materials incorporating NLP and AI quality assurance techniques. • Supported students with real dataset creation and model improvement workflows.

2020 - 2022

Software Engineer & AI Research Assistant, University of Tennessee Knoxville – Innovation Partnership

OtherTextData Collection

Built and maintained data pipelines for AI training projects processing software engineering records with full documentation. Implemented statistical validation to enhance dataset reliability for downstream machine learning applications. Reviewed and optimized AI-generated software documentation to improve clarity and technical accuracy. • Conducted performance testing and benchmarking to guide tool selection for AI prototypes. • Integrated computer science domain knowledge into AI development workflows. • Improved dataset reliability by 38% through validation methods. • Supported documentation quality improvements through review and optimization cycles.

2018 - 2020

Education

Work History