Natasha User
@natashauser6
AI Data Specialist with 4+ years evaluating and annotating image, video, and text datasets for model training.
What I'm looking for
I’m an AI Data Specialist with 4+ years of experience in data annotation, content moderation, and AI output evaluation. I specialize in labeling image, video, and text datasets and using pairwise assessments to judge accuracy, relevance, and bias.
Since 2022, I’ve annotated and labeled 50,000+ data points in remote Computer Vision & NLP projects using Label Studio. I document annotation guidelines, edge cases, and inconsistencies, then apply workflow documentation and QA reporting to improve dataset quality and team alignment.
Before freelancing, I worked as a Content Review Analyst (2019–2021), reviewing high volumes of user-generated content to comply with platform policies while maintaining 97%+ accuracy. I also supported training and onboarding of new analysts, helping maintain quality standards through tools like Trello and Google Workspace.
Experience
Work history, roles, and key accomplishments
AI Data Specialist
Freelance
Jan 2022 - Present (4 years 5 months)
Annotated and labeled 50,000+ image, video, and text data points in Label Studio to support ML training. Conducted pairwise AI output evaluations and maintained 97%+ accuracy by documenting guidelines, cleaning datasets, and reporting QA issues.
Education
Degrees, certifications, and relevant coursework
Appalachian State University
Bachelor of Arts, Data Science
2015 - 2018
Earned a Bachelor of Arts in Data Science from Appalachian State University between 2015 and 2018.
DataCamp
NLP Essentials, Natural Language Processing (NLP)
2022 -
Completed the NLP Essentials certification/course via DataCamp in 2022.
Udemy
Data Annotation for Machine Learning, Machine Learning Data Annotation
2023 -
Completed the Data Annotation for Machine Learning certification/course via Udemy in 2023.
University of North Carolina
Master of Arts, Information Studies
2020 - 2022
Earned a Master of Arts in Information Studies from the University of North Carolina between 2020 and 2022.
Coursera
Digital Content Management, Digital Content Management
2021 -
Completed the Digital Content Management certification/course via Coursera in 2021.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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