Samuel Swartzentruber
Data Annotation Specialist
Detail-oriented Data Annotation Specialist with 5+ years of experience delivering high-quality, model-ready datasets for AI and machine learning applications, consistently achieving 99% labeling accuracy across diverse data types.
Skills
At a Glance
5+
Years of Experience
500,000+
Data Points Annotated
99%
Labeling Accuracy
Work Experience
Freelance Data Annotator
Remote · Jan 2020 – Present
Annotated 500,000+ data points across images, text, and audio for AI/ML projects, maintaining 99% labeling accuracy. Collaborated with project managers to optimize annotation workflows and deliver model-ready datasets using Labelbox, CVAT, and Amazon SageMaker.
Data Entry & Annotation Specialist
VisionTech AI Solutions, Los Angeles, CA · Jun 2017 – Dec 2019
Processed and validated datasets for NLP and computer vision projects, ensuring consistency and quality. Trained new annotators on best practices and tool usage while developing internal annotation guidelines.
Administrative Assistant / Data Clerk
ClearPath Data Services, San Diego, CA · Jan 2015 – May 2017
Managed client datasets in MS Excel and Google Sheets, performed quality control audits, and generated reports to maintain data integrity across ongoing projects.
Key Strengths
- Certified Data Annotation Specialist (AI & Machine Learning Academy, 2021) with formal training in ML fundamentals
- Fluent in English and Spanish, enabling collaboration on multilingual annotation projects
- Proven expertise in developing and refining annotation guidelines to standardize processes and improve team efficiency