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Ryan Newman

Ryan Newman

AI Research Assistant (Data Labeling & AI Training)

USA flaglos Angeles, Usa
$25.00/hrExpert

Key Skills

Software

No software listed

Top Subject Matter

Mathematics Domain Expertise
Engineering Domain Expertise
Computer Science

Top Data Types

TextText

Top Task Types

Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)

Freelancer Overview

AI Research Assistant (Data Labeling & AI Training). Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Master of Science, Rice University (2024) and Bachelor of Science, University of Texas at Austin (2019). AI-training focus includes data types such as Text and labeling workflows including Prompt + Response Writing (SFT).

ExpertEnglish

Labeling Experience

AI Research Assistant (Data Labeling & AI Training)

TextPrompt Response Writing SFT
Developed structured problem sets to train and evaluate large language models in mathematical and computational reasoning. Refined LLM-generated responses with subject matter experts to improve accuracy in engineering and scientific domains. Conducted detailed error analysis on AI outputs to identify and resolve biases and inconsistencies. • Created learning tasks for AI models involving mathematical, statistical, and engineering problems • Worked alongside academic researchers to define labeling guidelines • Preprocessed textual datasets using Python scripting for enhanced AI training • Contributed to advancement of domain-specific datasets for machine learning

Developed structured problem sets to train and evaluate large language models in mathematical and computational reasoning. Refined LLM-generated responses with subject matter experts to improve accuracy in engineering and scientific domains. Conducted detailed error analysis on AI outputs to identify and resolve biases and inconsistencies. • Created learning tasks for AI models involving mathematical, statistical, and engineering problems • Worked alongside academic researchers to define labeling guidelines • Preprocessed textual datasets using Python scripting for enhanced AI training • Contributed to advancement of domain-specific datasets for machine learning

2023 - Present

Mathematics Tutor & Problem Developer (AI Data Labeling)

TextPrompt Response Writing SFT
Designed AI training datasets consisting of advanced calculus, probability, and statistics problems to enhance model reasoning capabilities. Crafted structured problem sets used for AI model training, resulting in a direct improvement in model response quality. Provided targeted feedback and corrections to improve dataset accuracy through iterative labeling. • Developed practice datasets and reasoning challenges for AI models • Improved labeled dataset quality by validating and refining entries • Ensured diversity of problem types for robust AI response • Collaborated with students and educators for domain accuracy

Designed AI training datasets consisting of advanced calculus, probability, and statistics problems to enhance model reasoning capabilities. Crafted structured problem sets used for AI model training, resulting in a direct improvement in model response quality. Provided targeted feedback and corrections to improve dataset accuracy through iterative labeling. • Developed practice datasets and reasoning challenges for AI models • Improved labeled dataset quality by validating and refining entries • Ensured diversity of problem types for robust AI response • Collaborated with students and educators for domain accuracy

2020 - 2023

Education

R

Rice University

Master of Science, Computer Science

Master of Science
2022 - 2024
U

University of Texas at Austin

Bachelor of Science, Applied Mathematics and Computer Science

Bachelor of Science
2015 - 2019

Work History

R

Rice University

AI Research Assistant

Houston
2023 - Present
N

N/A

Mathematics Tutor & Problem Developer

Houston
2020 - 2023