Hopey R.

Key Skills

Software

Scale AI

Other

Top Subject Matter

Large Language Models

Instruction Following

General AI

Top Data Types

Text

Image

Document

Top Task Types

RLHF

Classification

Freelancer Overview

AI Model Trainer & Data Annotator (Contract). Brings 5+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Scale AI and Other. Education includes Doctor of Philosophy, University of Illinois Chicago (2024) and Master of Science, Northwestern University (2024). AI-training focus includes data types such as Text and labeling workflows including RLHF and Classification.

Labeling Experience

AI Model Trainer & Data Annotator (Contract)

Scale AITextRLHF

As an AI Model Trainer and Data Annotator, I provided expert-level feedback and evaluation on large language model outputs. I labeled, ranked, and assessed text, coding tasks, and reasoning responses to support fine-tuning and RLHF pipelines. My work directly improved model accuracy, safety, and alignment in production AI systems. • Labeled and evaluated LLM-generated text for accuracy, relevance, and safety • Created detailed scoring assessments for RLHF model training • Collaborated with ML engineers to identify and report model failure modes • Used proprietary Scale AI tooling to perform annotation and evaluation tasks

2024 - Present

Undergraduate Research Assistant - Machine Learning

OtherTextClassification

As an Undergraduate Research Assistant, I performed data cleaning, labeling, and augmentation of biomedical datasets for clinical text classification. I contributed to the development and training of BERT-based NLP models for medical applications. This work helped support an NIH-funded project in clinical natural language processing research. • Labeled and augmented biomedical text for supervised model training • Used Python data science libraries for annotation and analysis (pandas, scikit-learn) • Helped benchmark state-of-the-art text classifiers on real clinical datasets • Presented findings at a university research symposium

2021 - 2022

Education

Work History