In this position, the staff (Data Entry Specialist/Transcriber) will verify the automated written text produced from a de-identified audio tape recording with the original audio tape. This process of verification occurs before the written text is used to train our augmented intelligence coding algorithms. De-identified transcripts and audio tapes will be accessed online and work will be asynchrounous. Work hours are flexible. Assigned activities are based on need and there is no guarantee for a set number of hours per week.

Background: This project is developing augmented intelligence machine-learning processes for automating the transcription and coding of audio tape materials. To develop the algorithms and create a robust system, positions such as this are needed to train the machine.

• Demonstrated proficiency in translating de-identified audio tapes
• Demonstrated accuracy in validating written text against spoken work on audio tapes
• Well-versed in using IT technology such as Dropbox, spreadsheets, and forms
• Speaks and writes in English
• Have access to computer and reliable internet

• Baccalaureate degree in health-related field
• Training in human subject research methods and ethical considerations

Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes.

The University of Michigan is an equal employment opportunity employer.