I will do ai data annotation data labeling and QA review

I will manually label, tag, review, and clean data for AI training, data annotation, and quality assurance projects.

I can help with text annotation, image annotation, data labeling, data tagging, categorization, classification, fact-checking, AI response review, and dataset cleanup. Im comfortable working with detailed instructions, edge cases, spreadsheets, web research, and projects where accuracy matters.

My background includes AI model evaluation, data annotation, GIS/geospatial analysis, QA review, technical writing, and database work. Im used to following complex guidelines, checking work carefully, and flagging unclear items instead of guessing.

This gig is a good fit for small datasets, test batches, AI training data, research cleanup, content review, and manual labeling tasks. Ill keep the work organized, consistent, and easy to review.

Please send your instructions, dataset, label categories, examples, and any special rules before I begin. If something is unclear, Ill ask questions or flag it clearly in the final notes.