Hi, I'm Naomi Valle. I'm a researcher with a PhD in Computer Science and a foundation in Linguistics who loves unpacking how AI reasons and communicates. I analyze AI-generated content across academic, technical, and creative domains, focusing on factual accuracy, coherence, and contextual relevance. I enjoy interpreting complex data and identifying biases or gaps in model reasoning to help improve reliability and trust in AI systems. My work blends linguistic insight with computational rigor and clear communication. I collaborate with cross-functional teams to design evaluation frameworks, annotate data, and support iterative model retraining for language-understanding systems. Based in Grand Prairie, Texas, I value rigorous methodology, evidence, and remote collaboration that bridges disciplines.

Naomi Valle

Hi, I'm Naomi Valle. I'm a researcher with a PhD in Computer Science and a foundation in Linguistics who loves unpacking how AI reasons and communicates. I analyze AI-generated content across academic, technical, and creative domains, focusing on factual accuracy, coherence, and contextual relevance. I enjoy interpreting complex data and identifying biases or gaps in model reasoning to help improve reliability and trust in AI systems. My work blends linguistic insight with computational rigor and clear communication. I collaborate with cross-functional teams to design evaluation frameworks, annotate data, and support iterative model retraining for language-understanding systems. Based in Grand Prairie, Texas, I value rigorous methodology, evidence, and remote collaboration that bridges disciplines.

Available to hire

Hi, I’m Naomi Valle. I’m a researcher with a PhD in Computer Science and a foundation in Linguistics who loves unpacking how AI reasons and communicates. I analyze AI-generated content across academic, technical, and creative domains, focusing on factual accuracy, coherence, and contextual relevance. I enjoy interpreting complex data and identifying biases or gaps in model reasoning to help improve reliability and trust in AI systems.
My work blends linguistic insight with computational rigor and clear communication. I collaborate with cross-functional teams to design evaluation frameworks, annotate data, and support iterative model retraining for language-understanding systems. Based in Grand Prairie, Texas, I value rigorous methodology, evidence, and remote collaboration that bridges disciplines.

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Language

English
Fluent
Spanish; Castilian
Advanced
German
Intermediate

Work Experience

AI Tutor / Evaluator at Freelance Contract
March 1, 2024 - Present
Reviewed and analyzed AI-generated responses across diverse subjects, ensuring factual accuracy, coherence, and contextual relevance. Applied advanced academic reasoning to identify logical fallacies, bias, or ambiguity in model outputs. Collaborated with technical teams to refine feedback rubrics and improve prompt-response alignment. Contributed to structured datasets supporting iterative model retraining for language-understanding systems.
Research Associate – Computational Linguistics & AI Ethics at University of Edinburgh, School of Informatics
February 1, 2024 - October 24, 2025
Led research on ethical data collection and model interpretability in multilingual NLP systems. Published peer-reviewed papers on semantic drift and fairness in transformer-based architectures. Supervised graduate students in projects merging linguistic theory with applied ML. Implemented Python-based scripts for text corpus analysis and automated evaluation metrics.
Teaching Assistant – Intro to Machine Learning & AI Literacy at University of Edinburgh
June 1, 2020 - October 24, 2025
Delivered tutorials and grading support for undergraduate ML courses. Designed exercises integrating linguistic annotation with computational analysis using Python. Received departmental award for teaching excellence (2019).

Education

PhD in Computer Science at University of Edinburgh
January 11, 2030 - January 1, 2024
Bachelor of Arts in Linguistics at University of California, Berkeley
January 11, 2030 - January 1, 2018

Qualifications

Coursera – Machine Learning Specialization (Andrew Ng)
January 1, 2022 - October 24, 2025
DataCamp – Applied Natural Language Processing
January 1, 2023 - October 24, 2025
IEEE Member – Ethical AI and Responsible Innovation Track
January 11, 2030 - October 24, 2025

Industry Experience

Education, Software & Internet, Professional Services, Media & Entertainment, Other