Introduction
This guide outlines the human-in-the-loop process we use at Euman AI to produce high-quality human data for fine-tuning, post-training alignment, and evaluation. Our goals are two-fold:
- Describe how we source, vet, train, and manage expert contributors across Africa and the diaspora to deliver global-grade outcomes.
- Provide leaders with a practical checklist for selecting and evaluating data vendors.
Euman AI operates an Africa-first network of experts — domain specialists, linguists, and annotators — organized into pods with peer review and QA loops. Parts of this platform are available via API; fully managed programs are scoped in a short call.
Parts of the human data platform are available via API. For fully managed programs, book a demo and we’ll tailor a pod to your domain and timeline.