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Kimberly Davies

@kimberlydavies

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AI data annotation specialist with five years ensuring accurate, high-quality training datasets.

United States

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What I'm looking for

I am seeking remote roles where I can apply my annotation and QA expertise to produce high-quality ML training data, collaborate with global teams, and grow into data-quality leadership.

I am an AI data annotation specialist with five years of experience annotating, tagging, and validating text, image, and document datasets to support machine learning and AI model training. I have a proven track record in dataset collection, quality review, and validation, consistently delivering high accuracy and meeting tight deadlines while collaborating with international, remote teams.

My work history includes roles at Appen, TELUS International AI Data Solutions, Scale AI, and Remotasks where I executed annotation and validation tasks across NLP and computer vision projects, conducted quality assurance to identify edge cases, and maintained exceptional task approval ratings. I bring strong attention to detail, adherence to annotation guidelines, and a commitment to improving dataset reliability for production ML systems.

Experience

Work history, roles, and key accomplishments

Data Annotator

Appen

Mar 2022 - Dec 2024 (2 years 9 months)

Annotated, tagged, and categorized diverse text and image datasets to support AI/ML model training; reviewed and validated annotations to ensure high accuracy and consistency across NLP and computer vision projects.

Data Annotation Quality Assurance Data Validation NLP Computer Vision Remote Collaboration

Data Annotator

Remotasks

Sep 2019 - May 2022 (2 years 8 months)

Performed data labeling, content categorization, and validation per detailed instructions to maintain consistent, high-quality outcomes and achieved high task approval ratings through attention to detail.

Data Labeling Validation Quality Control Attention To Detail Task Approval Team Collaboration Remote Work

AI Data Labeling Specialist

TELUS International AI Data Solutions

Jun 2020 - Feb 2022 (1 year 8 months)

Labeled and reviewed large datasets to support AI training and evaluation, conducted quality assurance to identify annotation issues and edge cases, and reported findings to project leads to improve dataset reliability.

Data Labeling & QA Annotations Edge Cases Remote Work Communication

Data Annotation Contributor

Scale AI

Jan 2021 - Aug 2021 (7 months)

Executed annotation and validation tasks for structured and unstructured datasets, aligning outputs with project taxonomies and consistently meeting tight turnaround timelines with high accuracy.

Annotations Unstructured Datasets Time Management Accuracy Project Based Work