Annotator / Data Labeling Specialist

Main mission

Labels data that trains models: the invisible job of AI.

5 key responsibilities

• Label data according to guidelines: text, images, audio, video.
• Report ambiguous cases and contribute to improving instructions.
• Maintain quality and consistency levels among annotators.
• Specialize in demanding fields: medical, legal, security.
• Control the quality of work from other annotators (senior level).

Key skills

Rigor, consistency, fine understanding of instructions, domain specialization.

What's expected

Accurate and consistent labels: the quality of models starts here. A real entry point into data jobs.

Career paths

Quality Lead Annotation, AI Trainer, Data Quality Analyst.