Saileen Bianca Baldonado

Detail-oriented AI Data Annotator with hands-on experience in image, text, audio, and video annotation across multiple crowdsourcing platforms, including bounding box, polygon, and semantic/instance segmentation labeling.

Background in Architecture (BS, University of Mindanao) with direct training in reading blueprints, site plans, and structural drawings using AutoCAD, Revit, and SketchUp — bringing genuine spatial and geospatial literacy to datasets involving roads, curbs, lane markings, satellite imagery, blueprints, and roofing. Consistently meets accuracy and productivity targets while following structured QA guidelines, and works effectively in remote, guideline-driven team environments.

Freelance AI Data Annotation Contributor - Clickworker/UHRS · OneForma · Remotask - Remote

• Labeled and segmented image, text, audio, and video datasets using bounding box, polygon, and semantic/instance segmentation techniques, in line with client-specific labeling guidelines.
• Performed object detection, image classification, and keypoint/landmark annotation across varied real-world dataset types, maintaining consistent accuracy standards.
• Met per-project accuracy and productivity targets while completing high-volume annotation tasks under structured turnaround-time requirements.
• Conducted QA review and data validation passes on annotated datasets, flagging inconsistencies and correcting labels to maintain guideline compliance.
• Completed content moderation and search relevance evaluation tasks supporting AI model training pipelines.
• Adapted quickly to new annotation tools and shifting project guidelines, applying feedback from quality reviewers to improve labeling consistency.

Bachelor of Science - Architecture - University of Mindanao (2024)