Taylor Tkeyiah
@taylortkeyiah
Detail-oriented data annotation specialist improving dataset quality for ML teams.
What I'm looking for
I am a data annotation specialist with over 5 years' experience creating, reviewing, and validating high-quality labeled datasets for machine learning. I specialize in image, video, and spatial data annotation and routinely use tools like CVAT, Labelbox, and QGIS to ensure datasets meet technical standards.
I perform detailed quality assurance, detect and correct labeling errors, track quality metrics, and provide clear feedback to annotation teams and engineers. My work has improved dataset accuracy, reduced annotation errors, and contributed to faster, more reliable dataset delivery for production ML systems.
I adapt quickly to new tools and workflows, prioritize consistency and clear communication, and focus on process improvements that scale annotation quality across projects.
Experience
Work history, roles, and key accomplishments
Data Annotation Specialist
TechData Solutions
Jan 2020 - Present (6 years 1 month)
Reviewed and verified image, video, and spatial annotations to ensure guideline compliance, improving dataset accuracy and accelerating delivery for ML model training. Identified error patterns and provided structured feedback that reduced annotation errors and improved QA workflows.
Chat and Content Reviewer
TechData Solutions
Jan 2020 - Jan 2024 (4 years)
Reviewed chat and digital content for accuracy, compliance, and quality, maintaining high review accuracy and consistent communication standards across platforms. Flagged and corrected inappropriate or low-quality content and maintained thorough review records.
Data Quality Analyst
Vision AI Data Services
Jun 2021 - Dec 2022 (1 year 6 months)
Performed quality checks on bounding boxes, segmentation, and classification annotations using QGIS and visual tools, enforcing strict QA standards that improved annotation consistency across projects. Documented reviews and recommended workflow improvements to increase dataset reliability for production ML systems.
Education
Degrees, certifications, and relevant coursework
University of California
Bachelor of Science, Computer Science
Completed a Bachelor of Science in Computer Science, covering core topics in computing and software development.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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