Zachary Foote

Annotated and categorized text, image, and video datasets for large-scale AI training projects, consistently meeting accuracy targets and QA standards. Applied structured labeling guidelines, performed completeness/accuracy checks, and helped refine annotation workflows to improve throughput without reducing label quality.

Created, reviewed, and evaluated AI-generated content across technical, creative, and academic formats, delivering structured feedback on tone, structure, clarity, and factual accuracy. Engineered and refined prompts to test AI writing performance and supported multiple clients with editorial assessments for research papers, web content, and long-form articles.

Evaluated AI-generated written content for clarity, coherence, logical soundness, and stylistic quality using rubric-based scoring. Identified bias and factual issues and provided actionable, structured feedback to support model fine-tuning cycles while working independently in asynchronous workflows.

Evaluated and ranked AI-generated responses for clarity, factual accuracy, and user-intent alignment, contributing scored assessments to LLM improvement pipelines. Reviewed outputs for contextual comprehension gaps and subtle linguistic nuances using consistent evaluation criteria aligned with project benchmarks.

Activities and societies: Dean's List; Writing Fellow; Editor, University Literary Magazine.

Bachelor of Arts in English Literature from the University of Florida, completed in December 2018. Included coursework in technical writing, creative writing, linguistics, and data analysis for writers.