Remote vs. On-Site Data Annotation: Which Model Works Best?

Did you know that only 23% of AI projects successfully deploy to production? The biggest bottleneck isn’t algorithms or computing power—it’s getting high-quality labeled data fast enough. When building AI models, teams face a critical choice early on. Should you work with remote data labeling experts? Or should you build onsite annotation teams instead? This […]