Healthcare ASR Data Quality Specialist

Hippocratic AI Inc.; Menlo Park (CA); Sur place; USD 110 000 - 150 000; Plein temps

Résumé du poste

Hippocratic AI seeks an Audio Transcription Specialist to own the quality of transcription data behind our speech systems, directly shaping how accurately our AI hears patients and clinicians. You will stand up a repeatable QA process for external transcription providers within 90 days, with refreshed review criteria and an error taxonomy researchers use to prioritize ASR work.

Collaborating with researchers, engineers, and external providers, you will drive improvements to data and models,

Qualifications

• Bachelor's degree in Linguistics, Speech and Language Sciences, or a related field.
• 2+ years of experience in transcription, linguistic annotation, audio quality assurance, or a related field.
• Strong listening skills and attention to detail, including the ability to identify subtle transcription errors.
• Demonstrated ability to apply annotation guidelines consistently and exercise sound judgment in ambiguous cases.
• Strong written communication skills, with the ability to explain errors and provide actionable feedback.
• Comfort working with sensitive audio data and following data privacy and handling requirements.
• Ability to work onsite in our Menlo Park office five days a week.

Responsabilités

• Evaluate external transcription quality: Review transcriptions from external providers against annotation guidelines for accuracy and completeness, deliver written feedback to each provider, and track recurring error patterns over time.
• Improve quality processes: Design, document, and refine QA workflows, review criteria, and transcription guidelines, and implement process changes that close systematic quality gaps identified in provider output.
• Validate audio data pipelines: Test audio processing and annotation pipelines end to end, and verify that the training data they produce is accurate, consistent, and aligned with human judgments.
• Investigate production errors: Analyze audio and transcription errors observed in production ASR systems, document failure patterns, and assess their impact on downstream performance.
• Build useful error categories: Develop and maintain an error taxonomy that researchers use to identify ASR weaknesses, prioritize improvements, and measure progress.
• Collaborate across teams: Present quality findings to researchers, engineers, and external providers, and partner with them to turn those findings into changes to data and systems.

Connaissances

Listening skills

Attention to detail

Annotation guidelines

Written communication

Privacy/compliance

Formation

Bachelor's degree in Linguistics, Speech and Language Sciences, or related field

Description du poste

Hippocratic AI seeks an Audio Transcription Specialist to own the quality of transcription data behind our speech systems, directly shaping how accurately our AI hears patients and clinicians. You will stand up a repeatable QA process for external transcription providers within 90 days, with refreshed review criteria and an error taxonomy researchers use to prioritize ASR work.

Collaborating with researchers, engineers, and external providers, you will drive improvements to data and models,