We're running a paid study to improve the accuracy of Amharic speech recognition models. High-quality audio segmentation and transcription correction feed directly into making these language tools more reliable. This work ensures that automated systems accurately capture the nuances of spoken Amharic.
You will log into a dedicated platform to listen to various Amharic audio recordings. Your primary task is to verify and adjust the existing audio segmentation boundaries so they align perfectly with the speech. You will also review the text transcripts provided and correct any errors you hear. This is an ongoing project requiring a minimum commitment of 10 hours per week.
We are looking for fluent Amharic speakers with strong listening and writing skills. Candidates with a background in transcription, translation, or linguistics are highly encouraged to apply. You must be detail-oriented and able to commit to the ongoing weekly hour requirement.