What is outsourced labeling?
Outsourced labeling is the practice of paying people outside the company to annotate training data: drawing boxes around defects, tracing outlines, or transcribing handwritten fields. Vendors range from managed annotation firms with trained teams to crowd marketplaces that split tasks among thousands of anonymous workers. Labeling is slow, repetitive, and the largest cost in most computer vision projects, so outsourcing is often the only way to reach the needed volume. The trade is speed against control, because the annotators have never seen your production line and per-task pay rewards speed over care.
Outsourced labeling in practice
A dermatology group wants a model that flags skin lesions for priority review and needs twenty thousand labeled images. The photos are protected health information, so the group strips metadata and faces, signs a business associate agreement with a managed annotation firm, and has its own dermatologists label a gold set that every annotator is scored against. Kirk Tech Solutions typically keeps the most sensitive data with in-house labelers and outsources only redacted or non-confidential data.
What to watch for
- Seed every batch with gold-standard items, and have a share of items labeled twice to measure inter-annotator agreement.
- Write a labeling guide with visual examples of edge cases before the first batch, and expect to revise it.
- Redact personally identifiable information before upload, require a data processing agreement, and confirm the country where the work is done.
- The contract should state that the labels are your property, delivered in an open annotation format.