In the current debate about data annotation for high-stakes AI—whether in healthcare, autonomous vehicles, or legal tech—there’s a growing recognition that only domain experts can deliver the accuracy and reliability required. Generalist annotators often miss subtle artifacts, jurisdictional nuances, or rare but critical scenarios. Expert-annotated data has been shown to deliver up to 28% higher accuracy and 85% fewer real-world errors. At JANZZ.technology, we have always understood this. For nearly 18 years, we have relied exclusively on highly trained specialists and domain experts for all our annotation work. Nowhere is this more crucial than in the field of HR data, where the complexity and diversity of sources demand deep subject matter expertise.

HR data is uniquely challenging: It encompasses a vast array of document types and data sources—occupations, skills and soft skills, CVs and job ads, references and certificates, assessment documents, and much more. Each of these requires not only linguistic precision but also a nuanced understanding of context, industry standards, geography, and evolving terminology. Annotating such data is not just about labeling; it’s about interpreting meaning, intent, and relevance across dozens of languages and cultural backgrounds.

Outsourcing this critical work to low-cost, non-expert annotators would have been a waste of time and a risk to data quality. That’s why, at JANZZ.technology, we have always treated annotation as a 1st priority task for experts—never as a “cheap resource.” Our millions of carefully annotated documents in around 60 languages are a testament to this commitment.

For us, expert annotation isn’t a new trend—it’s the foundation of trustworthy, precise, and scalable HR solutions. Solid and ethical AI requires solid data, and in HR, that means annotation by true domain experts. That’s how at JANZZ.technology we ensure our solutions are not just innovative, but also reliable, future-proofand compliant with all current and future regulations.