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Hi, I’m Zachary Butler—a PhD‑level AI/CS professional with over 11 years of experience in AI model training, data labeling, and machine learning pipelines. I’ve led large-scale labeling projects for computer vision, NLP, and geospatial AI, and I’ve built robust workflows using LabelStudio, CVAT, Prodigy, and related tools to improve data quality and speed up iteration. I’m passionate about ethical AI and collaboration across product, engineering, and research teams. I enjoy turning complex data challenges into scalable, reliable labeling systems and contributing to open-source AI tooling so others can build better models faster.…Hi, I’m Zachary Butler—a PhD‑level AI/CS professional with over 11 years of experience in AI model training, data labeling, and machine learning pipelines. I’ve led large-scale labeling projects for computer vision, NLP, and geospatial AI, and I’ve built robust workflows using LabelStudio, CVAT, Prodigy, and related tools to improve data quality and speed up iteration. I’m passionate about ethical AI and collaboration across product, engineering, and research teams. I enjoy turning complex data challenges into scalable, reliable labeling systems and contributing to open-source AI tooling so others can build better models faster.

Zachary Butler

Data Scientist, Data Analyst, AI Engineer, +5

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Hi, I’m Zachary Butler—a PhD‑level AI/CS professional with over 11 years of experience in AI model training, data labeling, and machine learning pipelines. I’ve led large-scale labeling projects for computer vision, NLP, and geospatial AI, and I’ve built robust workflows using LabelStudio, CVAT, Prodigy, and related tools to improve data quality and speed up iteration. I’m passionate about ethical AI and collaboration across product, engineering, and research teams. I enjoy turning complex data challenges into scalable, reliable labeling systems and contributing to open-source AI tooling so others can build better models faster.…Hi, I’m Zachary Butler—a PhD‑level AI/CS professional with over 11 years of experience in AI model training, data labeling, and machine learning pipelines. I’ve led large-scale labeling projects for computer vision, NLP, and geospatial AI, and I’ve built robust workflows using LabelStudio, CVAT, Prodigy, and related tools to improve data quality and speed up iteration. I’m passionate about ethical AI and collaboration across product, engineering, and research teams. I enjoy turning complex data challenges into scalable, reliable labeling systems and contributing to open-source AI tooling so others can build better models faster.

Available to hire

Hi, I’m Zachary Butler—a PhD‑level AI/CS professional with over 11 years of experience in AI model training, data labeling, and machine learning pipelines. I’ve led large-scale labeling projects for computer vision, NLP, and geospatial AI, and I’ve built robust workflows using LabelStudio, CVAT, Prodigy, and related tools to improve data quality and speed up iteration.

I’m passionate about ethical AI and collaboration across product, engineering, and research teams. I enjoy turning complex data challenges into scalable, reliable labeling systems and contributing to open-source AI tooling so others can build better models faster.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Spanish; Castilian

Advanced

Work Experience

Data Analyst & AI Assistant (Full-Time) at AI Systems Lab

June 1, 2023 - Present

Supported AI research teams with data preprocessing, model evaluation, and automation of labeling workflows. Built Python pipelines for structured and unstructured data analysis using Pandas, NumPy, and TensorFlow. Developed Power BI dashboards to visualize key performance metrics and ensure transparency of data insights across departments. Collaborated with machine learning engineers to document data governance standards and improve data quality.

Freelance AI & Data Annotation Specialist at Freelance – Remote

June 1, 2022 - Present

Delivered freelance projects for startups and research clients in computer vision, NLP, and data automation domains. Labeled and curated over 200,000 data samples using LabelStudio, CVAT, and Prodigy for various machine learning models. Developed Python scripts for automating data cleaning and preprocessing, reducing manual effort by 30%. Coordinated with cross-functional teams to meet project timelines and ensure consistent data accuracy and documentation.

Junior Machine Learning Assistant (Intern) at University of Michigan AI Research Center

May 31, 2023 - October 10, 2025

Assisted research teams with data management, visualization, and model performance tracking for AI prototypes. Prepared and cleaned large datasets for experimentation, improving accuracy and consistency of project outcomes.

Data Analyst & AI Assistant (Full-Time) at AI Systems Lab

June 1, 2023 - Present

Supported AI research teams with data preprocessing, model evaluation, and automation of labeling workflows. Built and maintained Python pipelines for structured and unstructured data analysis using Pandas, NumPy, and TensorFlow. Developed Power BI dashboards to visualize key performance metrics and ensure transparency of data insights across departments. Collaborated with ML engineers to document data governance standards and improve data quality.

Freelance AI & Data Annotation Specialist at Remote

June 1, 2022 - Present

Delivered freelance projects for startups and research clients in computer vision, NLP, and data automation domains. Labeled and curated over 200,000 data samples using LabelStudio, CVAT, and Prodigy. Developed Python scripts for automating data cleaning and preprocessing, reducing manual effort by 30%. Coordinated with cross-functional teams to meet project timelines and ensure data accuracy and documentation.

Junior Machine Learning Assistant (Intern) at University of Michigan AI Research Center

May 31, 2023 - October 10, 2025

AI Data Labelling Lead at Google DeepMind

June 1, 2020 - Present

Led data labeling for object detection and classification in geospatial AI applications. Handled text generation and translation labeling for large language models across English, Spanish, and Mandarin. Integrated Prodigy and supervision tooling for complex data types including 3D point clouds and audio transcripts to streamline labeling workflows.

Graduate Research Assistant at University of Michigan

May 1, 2014 - October 10, 2025

Supported AI research and large-scale data annotation projects; designed and executed labeling pipelines for computer vision and NLP tasks; contributed to AI ethics initiatives; collaborated on satellite imagery labeling and analysis workflows; oversaw data quality and labeling guidelines.