Audio Data Engineer – Speech Cleaning & Pipeline Automation (TTS) at Hippocratic AI

Palo Alto, California, United States

Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, AIIndustries

Strong experience with speech/audio cleaning using tools such as iZotope RX, Audacity, Adobe Audition, or SoX
Proficiency in Python and audio-related scripting for automation and batch processing
Familiarity with digital audio principles, including sample rates, bit depth, frequency bands, and compression artifacts
Experience designing or operating scalable, automated workflows for handling audio at volume
Meticulous attention to detail in audio quality control and error spotting

Clean, denoise, and enhance large volumes of recorded speech data for use in TTS and voice synthesis pipelines
Build and maintain automated audio preprocessing pipelines using scripting tools and open-source libraries
Apply techniques such as background noise removal, silence trimming, gain normalization, and sample rate conversion
Integrate tools like ffmpeg, sox, or Python-based scripts (pydub, torchaudio, librosa) into scalable workflows
Collaborate with ML researchers and speech scientists to deliver high-quality, ready-to-train datasets
Evaluate audio quality using perceptual and quantitative metrics, and maintain audio QA checklists