Data Annotators

Data Annotators label and categorize data used to train artificial intelligence and machine learning models. They identify objects in images, transcribe audio, classify text sentiment, verify AI outputs, and create the high-quality training datasets that make modern AI systems possible. This emerging role has exploded with the AI boom, with demand at AI companies, tech giants, and specialized data labeling firms. Work can range from entry-level tasks done remotely to specialized annotation requiring domain expertise (medical imaging, legal documents). Many positions offer flexible, remote work arrangements. Data Annotation provides an accessible entry point into the AI industry without requiring a technical degree. While some tasks are straightforward, specialized annotators with domain expertise (healthcare, legal, scientific) command higher wages. Career paths lead to quality assurance, annotation team leadership, or transitions into ML engineering with additional training.