Are you interested in working as a data annotator but unsure how to prepare a CV that attracts potential employers and clients? Data annotation is an important part of artificial intelligence development. It involves labelling, categorising, and organising data such as images, text, audio, and video to help train machine learning models. As demand for AI-related services grows, data annotation offers opportunities for people with attention to detail, computer skills, and a willingness to learn. However, having the right skills is only one part of the process. You also need a professional CV that clearly communicates your abilities, relevant experience, and suitability for data annotation projects. In this guide, we will explore how to write a data annotation CV, the sections to include, common mistakes to avoid, and a practical example based on the CV of Johnson Murimi Karani. 1. Understand What Employers Look for in a Data Annotation CV Before writing your CV, understand the res...