Appen
Overview
Appen is an AI data platform that provides expert-validated data to train, align, and evaluate frontier AI models. By leveraging a global network of over one million vetted contributors, the platform helps developers ensure their AI systems understand complex nuances, context, and human-like reasoning at scale.
The tool is designed for AI researchers and developers working on advanced model development, including LLM alignment, agentic AI, and multimodal systems. Typical use cases include Reinforcement Learning from Human Feedback (RLHF), adversarial red teaming, speech synthesis labeling, LiDAR annotation for robotics, and hallucination benchmarking to improve model safety and performance.
How to use it?
- Access the Appen Data Platform (ADAP) to manage your data annotation and labeling workflows.
- Select from specialized data products, such as frontier alignment, agentic trajectories, or multimodal training sets, based on your model’s requirements.
- Utilize the platform’s human-in-the-loop oversight to generate, label, or evaluate data across 500+ global locales.
- Integrate the validated datasets into your model training pipeline to improve accuracy, safety, and performance.
Features
Pre-built datasets, Language Model data offerings, Experts in AI training, Specialists in specific fields, Managed crowd, Diverse global participants
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