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C

Colton Smith

AI Research Assistant

USA flagAstoria, Usa
$35.00/hrExpertData Annotation Tech

Key Skills

Software

Data Annotation TechData Annotation Tech

Top Subject Matter

Mathematics Domain Expertise
Computer Science
Engineering Domain Expertise

Top Data Types

TextText
ImageImage

Top Task Types

Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
Entity (NER) ClassificationEntity (NER) Classification

Freelancer Overview

AI Research Assistant. Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and N. 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 Evaluation, Rating, and Prompt + Response Writing (SFT).

ExpertEnglish

Labeling Experience

AI Research Assistant

Text
Developed structured problem sets to improve machine learning models' reasoning in mathematics and computational science. Refined LLM-generated responses in engineering and scientific domains through detailed analysis and iterative feedback. Conducted error analysis on AI-generated answers to identify and address biases and inconsistencies. • Collaborated closely with professors and PhD researchers. • Used Python-based scripts for dataset preprocessing and quality assessment. • Focused on large language model (LLM) evaluation in technical subjects. • Enhanced the accuracy of AI training data for educational and research purposes.

Developed structured problem sets to improve machine learning models' reasoning in mathematics and computational science. Refined LLM-generated responses in engineering and scientific domains through detailed analysis and iterative feedback. Conducted error analysis on AI-generated answers to identify and address biases and inconsistencies. • Collaborated closely with professors and PhD researchers. • Used Python-based scripts for dataset preprocessing and quality assessment. • Focused on large language model (LLM) evaluation in technical subjects. • Enhanced the accuracy of AI training data for educational and research purposes.

2023 - Present

Mathematics Tutor & Problem Developer (AI Training)

TextPrompt Response Writing SFT
Designed and developed AI training datasets for mathematical reasoning and problem-solving. Created structured problem sets to teach advanced concepts in calculus, probability, and statistics for both student instruction and AI model improvement. Improved model response accuracy by curating and refining data tailored to educational benchmarks. • Provided direct tutoring to reinforce AI-designed curriculum materials. • Developed challenging problems for supervised fine-tuning of AI models. • Focused on mathematical domains such as calculus, probability, and statistics. • Demonstrated measurable improvements in both human and AI learning outcomes.

Designed and developed AI training datasets for mathematical reasoning and problem-solving. Created structured problem sets to teach advanced concepts in calculus, probability, and statistics for both student instruction and AI model improvement. Improved model response accuracy by curating and refining data tailored to educational benchmarks. • Provided direct tutoring to reinforce AI-designed curriculum materials. • Developed challenging problems for supervised fine-tuning of AI models. • Focused on mathematical domains such as calculus, probability, and statistics. • Demonstrated measurable improvements in both human and AI learning outcomes.

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

S

Self-Employed

Mathematics Tutor and Problem Developer

Houston
2020 - 2023
N

NASA

Computational Mathematics Intern

Houston
2022 - 2022