Make Your Data Smarter — One Label at a Time.
In today’s AI-driven world, the quality of your labeled data directly impacts the performance of your models. At Appen USA, we provide human-powered data labeling and annotation services that are accurate, secure, and scalable. Our U.S.-based workforce is trained to identify, tag, and structure data across a wide range of industries—from e-commerce and healthcare to finance and logistics.
We don’t just label data—we help shape the intelligence behind your automation. Every tag, classification, and annotation is reviewed for context, accuracy, and consistency to ensure machine learning models are trained with the highest standard of human insight.
Image & video annotation for object recognition and detection
Text classification & sentiment analysis
Audio transcription & labeling
Categorical tagging for product catalogs
Intent recognition for natural language processing (NLP)
Multi-label, entity, and bounding box annotations
Appen USA prioritizes data privacy and accuracy. All work is performed by certified agents within secure U.S. environments, meeting strict quality assurance protocols. We use layered validation techniques—including cross-checks and audit trails—to maintain consistency and reduce error rates.
Additionally, our workers are trained on a per-project basis, receiving guidelines, sample cases, and real-time feedback before they begin live work.
Whether you need a dedicated team for long-term model training or on-demand labeling for short cycles, we scale to your workflow. Our platform integrates with your systems or APIs, allowing seamless data transfers and output delivery in your preferred format (JSON, CSV, XML, etc.).
U.S.-only workforce: Guaranteed compliance with domestic data privacy standards
Domain expertise: Trained agents for healthcare, legal, retail, tech & more
Speed & scalability: Start small or go enterprise—our model adjusts to your needs
QA-first mindset: Dual-layer validation, feedback loops, and performance scoring
Direct communication: Real-time updates and team lead check-ins
Clients using our Data Labeling services have reported:
45% reduction in model training time
Up to 98% annotation accuracy
Improved AI outcomes across NLP, computer vision, and predictive analytics