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Cutter M

Micheal Cutter is an experienced data annotation specialist with a Master's degree in Physics from the University of Minnesota, graduated in 2021. He currently works at Snorkel AI, focusing on data tagging, quality assurance, and content generation to enhance AI model accuracy. Known for his attention to detail and technical skills, he excels in remote work environments and is proficient in managing diverse data formats.

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13 views2 pages

Cutter M

Micheal Cutter is an experienced data annotation specialist with a Master's degree in Physics from the University of Minnesota, graduated in 2021. He currently works at Snorkel AI, focusing on data tagging, quality assurance, and content generation to enhance AI model accuracy. Known for his attention to detail and technical skills, he excels in remote work environments and is proficient in managing diverse data formats.

Uploaded by

abdullahalk731
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
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Download as PDF, TXT or read online on Scribd
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Micheal Cutter

suprabh066@gmail.com

+1 212 416 4711

Professional Summary

Experienced data annotation specialist with a STEM background, contributing to


Snorkel AI’s mission to advance AI through high-quality data development. Skilled in the
accurate tagging, curation, and quality assurance of datasets to enhance AI model
accuracy and functionality. Recognized for meticulous attention to detail, technical
competency, and self-motivation, particularly effective in remote and flexible work
environments.

Education

Master of Science in Physics

University of Minnesota, USA

Graduated: 2021

Core Skills

• Data Annotation: Proficient in labeling and categorizing various types of data,


including text and images, adhering closely to guidelines for AI model training.
• Content Generation: Experienced in crafting multiple-choice questions and
educational content to support AI training, contributing to improved model
accuracy.
• Quality Control: Conducts thorough quality assurance on annotations to
ensure consistency and accuracy across datasets, supporting model
performance.
• Data Management: Well-versed in handling and processing diverse data
formats, ensuring thorough and reliable data for project needs.
• Technical Aptitude: Skilled in utilizing software tools, spreadsheets, and
annotation platforms, enhancing workflow efficiency and accuracy in data tasks.
• Attention to Detail: Known for a precise approach to annotation work,
understanding the critical impact of accuracy on machine learning outcomes.
• Effective Communication: Strong command of English, both written and verbal,
essential for content creation and precise text-based data annotation.
• Self-Directed & Organized: Highly motivated with strong time management
skills, capable of working independently in flexible, remote environments.

Professional Experience

Data Annotation Specialist

Snorkel AI, Remote

2021 – Present

• Engages in detailed annotation of multimodal data (text and images), following


project-specific protocols to enhance AI model training and evaluation.
• Develops educational content, including multiple-choice questions, to support
the training and assessment of AI models.
• Executes quality control on labeled data, verifying accuracy and consistency to
ensure high-quality datasets for machine learning applications.
• Leverages STEM knowledge to tackle complex annotation projects, contributing
to the development of reliable data for AI models.
• Utilizes technical tools and annotation software to streamline workflows,
promoting timely and accurate project completion.

References

Available upon request.

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