Arabic Data Labeling Analyst(Speech & Voice )

Execute high-volume data labeling and annotation tasks across speech and voice datasets

Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale

Work with audio and language data, including transcription, categorization, and tagging

Maintain strong throughput while meeting quality expectations

Escalate unclear or ambiguous cases appropriately

Adapt to evolving guidelines and workflows as systems and requirements change

Support baseline data production needs for AI training pipelines

Contribute to team calibrations and quality alignment sessions

Native-level fluency in Croatian

Strong written communication skills and language fundamentals

1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field.

Ability to follow detailed instructions and apply guidelines consistently

High attention to detail and ability to maintain accuracy in repetitive tasks

Comfort working in structured, process-driven environments

Ability to manage time effectively and maintain steady output

Willingness to ask questions and escalate when needed

Basic familiarity with AI, speech technology, or language data is a plus