Data Labeling Specialist
Pubblicato il 15-10-2026 - Altro in Milano
About The Role What if your attention to detail could directly influence how AI systems understand the world? We're looking for Data Labeling Specialists to categorize, tag, and annotate the data that powers cutting-edge AI models — helping machines learn to see, read, and interpret information more accurately. Data Labeling Specialist (AI Training) About The Role What if your attention to detail could directly influence how AI systems understand the world? We're looking for Data Labeling Specialists to categorize, tag, and annotate the data that powers cutting-edge AI models — helping machines learn to see, read, and interpret information more accurately. This is a fully remote, flexible contract role open to anyone with a sharp eye for detail and the ability to follow structured guidelines. No prior AI or tech experience needed — just focus, consistency, and a reliable internet connection. Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week What You'll Do Categorize and label text, images,
or audio data using predefined tag sets and annotation guidelines Annotate datasets across a variety of formats and subject areas to support AI model training Maintain high accuracy and consistency across large volumes of data Follow quality standards and participate in calibration exercises to keep outputs reliable Complete task-based assignments independently on your own schedule Who You Are Detail-oriented with a systematic, consistent approach to repetitive tasks Able to follow structured instructions precisely and adapt as guidelines evolve Comfortable working with web-based labeling tools and platforms Self-motivated and reliable when working independently No prior labeling, AI, or data experience required Nice to Have Experience with data entry, quality assurance, or document review Familiarity with AI tools or annotation platforms as an end user Background in research, transcription, or content classification Why Join Us Work on mea