Appen is a global company with more than 20 years’ experience in data annotation, collection, evaluation and transcription and a track record for successfully enhancing image, speech, text and video data for use in machine learning and artificial intelligence.
The successful candidate would join a team working on a Tagalog transcription project, supervising a team of remote transcribers, monitoring their throughput and assisting with quality control.
Required Knowledge, Skills and Abilities:
Preferred Knowledge, Skills and Abilities:
Project start date and length:
Estimated weekly hours: Full-time position – 30-40 hours a week.