Audio Transcription Specialist (AI)

Location: Menlo Park, California, United States; onsite in the Menlo Park office five days a week

Company

Hippocratic AI builds a healthcare-only, safety-focused large language model and AI platform designed to improve patient outcomes.

What you will do

• Evaluate external transcription providers’ output against annotation guidelines for accuracy and completeness, provide written feedback, and track recurring error patterns.
• Design, document, and refine QA workflows, review criteria, and transcription guidelines to close systematic quality gaps.
• Test audio processing and annotation pipelines end to end and verify that training data is accurate, consistent, and aligned with human judgments.
• Analyze audio and transcription errors in production ASR systems, document failure patterns, and assess downstream impact.
• Build and maintain an error taxonomy that researchers use to identify ASR weaknesses, prioritize improvements, and measure progress.
• Present quality findings to researchers, engineers, and external providers and collaborate on improvements to data and systems.

Requirements

• 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.
• Ability to apply annotation guidelines consistently and exercise sound judgment in ambiguous cases.
• Strong written communication skills, including 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 the Menlo Park office five days a week.

Nice to have

• Familiarity with ASR systems and evaluation metrics such as word error rate (WER).
• Experience evaluating speech across accents, dialects, noisy environments, or multiple languages.
• Experience working with external annotation providers or research and engineering teams.
• Experience identifying recurring quality issues and improving review processes.
• Familiarity with spreadsheets, SQL, or scripting tools for analyzing quality trends.
• Experience with healthcare audio or other privacy-sensitive, regulated data.

Culture & Benefits

• Work with researchers and engineers building and evaluating healthcare speech systems.
• Operate with high autonomy in a fast-moving research and development environment.
• Turn quality findings directly into improvements to data and models.
• Work on safety-focused AI intended to improve patient outcomes at global scale.
• Equal opportunity workplace with accommodations available during the hiring process.