What is People for AI?

People for AI provides in‑house data labeling and annotation services for machine‑learning projects across domains such as autonomous vehicles, microscopy, infrastructure inspection, food retail, legal documents, and satellite imagery. The company assigns dedicated teams of trained labelers, avoiding crowdsourcing to ensure consistent quality and data security.

Projects are managed with iterative processes and continuous quality monitoring, allowing clients to track progress and receive re‑annotation if required. Labelers are recruited on long‑term contracts, supporting large or complex annotation tasks while maintaining expertise and privacy compliance.

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People for AI's key features

In-house permanent labelers
Long-term labeler contracts
Tool-agnostic annotation platforms
Scalable high-volume teams
Iterative quality metrics tracking
Multi-domain annotation expertise

People for AI use cases

Generate high‑quality, GDPR‑aligned autonomous vehicle sensor datasets for self‑driving algorithm training, handling millions of images with continuous quality monitoring
Produce precise microscopy image annotations for biomedical research, enabling AI‑driven pathology diagnostics while preserving patient privacy
Create consistent, large‑scale satellite imagery labels for land‑use mapping and climate monitoring, with automated re‑annotation to adapt to evolving data needs