People for AI: Expert Data Labeling for ML Training

People for AI is a France-based data annotation company specializing in producing premium training datasets for machine learning algorithms. Rather than relying on anonymous crowdsourced labor, the company builds in-house teams of trained, permanently-employed labelers, giving clients tighter quality control and stronger data security than typical outsourced alternatives. Their scope spans computer vision, natural language processing, and speech recognition, with the flexibility to handle everything from simple tagging to highly complex, industry-specific annotation challenges. What sets People for AI apart is their consultative approach: rather than just executing instructions, their experts help clients define the right annotation strategy, select the optimal tooling, and assemble a specialized team matched to the project's technical demands. They've tackled niche use cases like identifying defects in railroad and energy infrastructure, segmenting food and retail products, and supporting autonomous vehicle perception systems. With a strong CSR commitment—including hiring a significant share of staff through social reintegration programs—and firm GDPR compliance, the company positions itself as both a quality-first and ethically-minded partner for AI teams needing reliable labeled data at scale.

1. Contact People for AI to discuss your machine learning project and specific data labeling requirements. 2. Get paired with a dedicated project manager who will scope the work with you. 3. A specialized annotation team is assembled based on the complexity and domain of your data. 4. The team defines the appropriate labeling tool and initial annotation instructions together with your input. 5. Annotation begins, with ongoing review cycles and quality checks (including free re-annotation if KPIs aren't met, up to two iterations). 6. Receive your labeled datasets, ready to train or fine-tune your AI models.