The role involves working as a labeller and rater for a machine learning program. The individual is responsible for annotating and rating data to support language technologies. The position requires maintaining high precision and consistency while adapting to evolving guidelines and process changes. The incumbent collaborates with product partners and offshore teams to collect requirements and ensure quality output. The work focuses on practical language analysis and the continuous improvement of data accuracy.

The role requires a graduate degree and native-level proficiency in the target language alongside fluency in English. Candidates must possess strong written and verbal communication skills, logical thinking, and the ability to learn quickly. Previous experience in annotating data with linguistic, syntactic, and semantic focus is necessary. The position also requires the ability to adapt to changing priorities and work effectively with global operational teams.