Labeled voice dataset operations
Data Collection
Internal full-stack platform for collecting, reviewing, enriching, moderating, curating, and exporting labeled voice samples for AI, analytics, and research workflows.
Data CollectionLabeled voice dataset operationsProduct systemsApplied AIImplementation
MY CONTRIBUTION
Built reviewer and administrator workflows across the React interface, Node.js API, MongoDB data operations, S3 media storage, reporting, bulk ingestion, and AI-assisted enrichment.
THE HARD PART
Supporting practical high-volume dataset operations while preserving human moderation, traceable review states, searchable metadata, and label-quality controls.
WHAT SHIPPED
- Built search, editing, filtering, moderation, reporting, exports, audio upload, metadata editing, trait labeling, and pending/good-sample curation.
- Implemented contributor/admin operations, user lifecycle controls, activity statistics, quality flags, and review-state transitions.
- Added CSV-to-file bulk ingestion and AI-assisted trait, biography, and financial-risk suggestions while keeping human validation central.
TECHNICAL DETAILS
- JWT-protected reviewer/admin access separates contribution and moderation responsibilities.
- S3-backed audio storage and MongoDB metadata operations support searchable collections of labeled media records.
- CSV import/export and filename matching make batch operations possible instead of requiring one-at-a-time manual handling.
TECHNOLOGY
React · Redux Toolkit · React Query · Ant Design · Node.js · Express · MongoDB · JWT · S3 · CSV · OpenAI