Turkish Data Annotator

About the Role

We are looking for detail-oriented native Turkish speakers to join an audio data annotation project supporting the development of AI and speech technologies. In this fully remote role, you will label and review audio data according to clear, structured guidelines, helping build high-quality datasets used to train machine learning models.

Key Responsibilities

• Perform audio data annotation on Turkish-language content using Label Studio.
• Follow step-by-step labeling instructions provided through documentation and Loom video guides.
• Maintain high accuracy and consistency across all assigned tasks.
• Participate in training sessions and act on quality feedback to continuously improve output.
• Collaborate closely with the Project Manager to meet daily productivity targets.

Qualifications

• Native or near-native fluency in Turkish (listening, reading, and writing).
• Excellent command of English (reading and listening) to understand guidelines and training material.
• Strong attention to detail and the ability to follow structured instructions precisely.
• Reliable internet connection and a quiet work environment, with the ability to work remotely full-time.
• Experience with annotation or data entry is a plus, but not required.

Preferred Experience

• Previous work in audio labeling, transcription, or content moderation.
• Familiarity with Label Studio or similar annotation platforms.
• Good familiarity with regional Turkish accents, dialects, and colloquial speech.

What We Offer

• Fully remote, full-time opportunity.
• Hands-on training and ongoing quality support.
• Exposure to real-world AI and speech data projects.