Role Summary As a Data Annotation Specialist, you’ll help train and improve AI systems by reviewing, labeling, and structuring data across a variety of formats (text, images, audio, or documents). Your work will directly impact how AI models learn and perform in real-world applications. Responsibilities: Review and annotate data according to detailed guidelines Label, classify, or extract information from datasets with high accuracy Maintain quality and productivity targets Identify edge cases, inconsistencies, or unclear data Follow feedback and continuously improve annotation quality Collaborate with reviewers and project leads when needed Requirements What Makes You a Great Fit Strong attention to detail and consistency Good problem-solving and critical thinking skills Comfortable working with repetitive, accuracy-focused tasks Able to follow structured guidelines precisely Reliable, organized, and quality-driven Requirements Good English reading and comprehension skills Basic digital literacy (spreadsheets, online tools, platforms) Typing accuracy and efficiency Previous experience in data annotation, data entry, or similar work is a plus