Data Annotator / Labeler (Freelance) — Remote (Ongoing) at Luel.ai
Labeled and categorized large volumes of text to support AI training pipelines. Applied annotation guidelines to achieve high consistency and improve inter-annotator agreement. Identified edge cases and ambiguous examples to enhance overall dataset quality. • Assigned labels/categories per established guidelines • Flagged ambiguous or edge-case samples for review • Supported dataset quality assurance through guideline compliance • Worked independently in a remote freelance setting