The rise of data annotation as firms look to create own versions of ChatGPT

The demand for experts who ensure that AI models are free of bias is exploding

The emergence of ChatGTP and a realisation of the potential of a machine learning (ML) and artificial intelligence (AI) platform have sent ripples across the tech world, with almost every company wanting its own version. This, in turn, is driving momentum in the data annotation or data labelling segment.

Data annotation is the process of labelling individual elements of training data (whether text, images, audio, or video) to help machines understand what is in it and what is important. This annotated data is then used for model training. For most AI models that are built today, one has to curate