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Brianna McCray

@briannamccray

AI data annotation specialist at DataRobot who improved data quality and task efficiency by 35% with Python automation.

At DataRobot, I rated AI and LLM outputs for accuracy, factual alignment, tone, and policy compliance. I also labeled datasets and ranked model responses to support RLHF pipelines.

I improved data quality metrics and task efficiency by 35% through Python scripting and workflow optimization. I also refined evaluation rubrics and annotation guidelines.

At Scale AI, I processed text and audio datasets for NLP and speech recognition applications. I generated prompts for language models and wrote Python scripts to automate data cleaning and quality checks.

At Stanford University, I developed machine learning models for classification and pattern recognition, and analyzed research data using Python and R. Earlier, as a Technical Assistant at LXT AI, I prepared and annotated datasets for speech-to-text and text-to-speech systems.

Experience

Work history, roles, and key accomplishments

AI Data Annotation Specialist

DataRobot

Jan 2023 - May 2025 (2 years 4 months)

Rated and assessed AI and LLM model outputs using structured evaluative frameworks, and labeled large-scale datasets across technical, scientific, and general domains. Improved data quality metrics and task efficiency by 35% through automation and workflow optimization using Python scripting.

AI model evaluation Data Annotation LLM Output Assessment Content Classification Quality Assurance Prompt Engineering NLP Python RLHF Workflow Optimization

Data Analyst / Technical Documentation Assistant

Scale AI

Feb 2022 - Dec 2023 (1 year 10 months)

Processed and annotated large-scale text and audio datasets for AI-driven applications, and generated prompts for language models. Built Python scripts for automating data cleaning and quality checks, and authored technical guides for global remote teams.

Data Annotation NLP Audio Annotation Prompt Engineering Python Quality Assurance Technical Documentation

Graduate Research Associate

Stanford University

Feb 2021 - Jan 2023 (1 year 11 months)

Developed machine learning models for data classification and pattern recognition in large-scale research datasets. Conducted quantitative analysis using Python and R to identify trends and surface data anomalies.

Machine Learning Python R Data Analysis Clustering Data Labeling Technical Documentation

Technical Assistant

LXT AI

Jan 2019 - Dec 2019 (11 months)

Prepared and annotated datasets for training speech-to-text and text-to-speech AI systems, and conducted data quality control and file integrity checks. Received a performance award for exceptional accuracy and consistency in data labeling tasks.

Data Annotation Speech Recognition Quality Control Data Processing