AI Data Annotator — Atlas Capture (Remote)
Provided AI training data annotations for image and video scenes to support machine learning model development. Applied coarse and dense labeling techniques and ensured results followed project-specific annotation guidelines. Conducted self-quality checks (QC) to reduce errors and improve dataset reliability.• Labeled objects for detection and classification tasks.• Used image and video labeling workflows within the assignment platform.• Performed consistency checks against guideline criteria.• Completed 267+ annotation tasks (episodes) during the engagement.