Quality control specialist AI​/ML with German language

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.

• 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.

• 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.

• 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.