Annotators are essential in training AI systems, spending their days labeling data, reviewing model outputs, and refining the quality of AI results. Their detailed work ensures AI models are accurate, efficient, and continually improving.
Now, let’s watch a video of one of our Annotators at HITL.
Below, you can watch this case study of Yagana, our Annotator in HITL:
Question:
What skills or qualities do you think are important for an annotator to have to ensure high-quality results in AI training?