Quality control specialist for AI/ ML with Hebrew language

Job description

### **About the Project** TSMG is looking for Quality control specialists to support an AI language project focused on improving speech recognition systems. As a QC contributor, you will review completed language annotation tasks and ensure that AI-generated transcripts have been accurately converted into natural, readable display text according to the project guidelines. You will focus on identifying and correcting formatting, punctuation, capitalization, and text normalization issues. ### What You Will Do - Review completed Display Transcription tasks for accuracy and consistency. - Compare the Display Transcription against the original lexical transcript and project guidelines. - Verify the correct use of: - punctuation; - capitalization; - numbers, dates, times, and currencies; - abbreviations and other text normalization rules. - Ensure that the original words and meaning have been preserved. - Identify and correct formatting or guideline-related errors. - Use the reference audio when necessary to verify ambiguous cases. - Apply project-specific quality standards consistently. - Provide accurate feedback and flag recurring issues when required. - Complete assigned QC tasks within project deadlines and productivity targets. ### Requirements - Excellent written skills in the target language. - Strong attention to detail and accuracy. - Good understanding of punctuation, capitalization, and written language conventions. - Ability to identify inconsistencies and errors in formatted text. - Ability to follow detailed guidelines and apply them consistently. - Basic computer skills and a reliable internet connection. - Ability to work independently and meet quality and productivity targets. - Previous experience in transcription, proofreading, quality control, annotation, or linguistic projects is a plus. - Training and project guidelines will be provided before the project starts. ### What We Offer - Opportunity to contribute to the development of AI and speech recognition technologies. - Flexible project-based work. - Clear guidelines and training before starting. - The opportunity to gain experience in AI language data and quality control projects.