Human data for frontier AI

The world’s leading AI models are built on more than algorithms, they’re built on human expertise. We deliver the expert-validated data that trains frontier models, ensuring AI systems understand nuance, context, and complexity at scale.

30 Years of Pioneering Data

Trusted expertise at the intersection of human intelligence and AI innovation

1996
Early NLP Systems
Speech recognition and language processing — Appen's first steps in building human-labeled datasets for AI.
2003
Search Relevance
Human evaluation for search quality at scale, powering the first generation of web search ranking models.
2006
Machine Translation
Statistical translation models requiring multilingual human annotations across 100+ language pairs.
2012
AlexNet Era
Deep learning for computer vision — image annotation and bounding box labeling at industrial scale.
2017
Transformer Models
Attention mechanisms and BERT demanded high-quality sentence-level semantic understanding data.
2020
GPT-3
Large language model training required vast, carefully curated, diverse human-generated text datasets.
2022
ChatGPT & RLHF
Human feedback alignment — our annotators trained reward models that shaped modern conversational AI.
2024
Multimodal Foundation Models
Vision, language, and reasoning combined — powering the next generation of frontier AI systems.
2025
Agentic AI
Agentic AI went viral bringing scalable agents to local hardware.

Human data for frontier AI

Discover how Appen accelerates the development of your AI applications.

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