Innodatainc
Principal Speech Data Linguist
Remote - United States. Posted a month ago
The role
You will own the linguistic foundation of segmentation and transcription work across languages and domains. You will define standards, establish quality frameworks, and design human-in-the-loop workflows for speech and audio models.
What you will do
- Define transcription and segmentation standards, style guides, and annotation conventions.
- Establish and run quality frameworks including rubrics, error taxonomies, and adjudication processes.
- Own the quality lifecycle for transcription and segmentation deliverables end to end.
- Design human-in-the-loop workflows for human review, correction, and adjudication.
- Handle linguistically hard cases such as accented speech, low-resource audio, and domain jargon.
- Partner with the Speech & Audio Research Scientist to turn model objectives into specifications.
- Train, calibrate, and mentor expert transcribers and reviewers.
- Represent the transcription and segmentation approach to customers and frontier labs.
Required qualifications
- Substantial industry experience in transcription, segmentation, and speech-data quality (typically 8+ years).
- Bachelor's degree in linguistics, phonetics, or computational linguistics, or a closely related field.
- Strong foundation in phonetics, phonology, and sociolinguistics.
- Fluency in phonetic transcription and IPA.
- Hands-on experience with acoustic and phonetic analysis of speech using tools like Praat.
- Deep experience with audio segmentation and its conventions.
- Hands-on fluency with the modern speech stack including Whisper, commercial ASR engines, forced alignment, and annotation tools like ELAN.
- Comfort scripting for speech-data work using Python and regular expressions.
- Practical data-management skills across the delivery lifecycle.
- Multilingual capability and hands-on experience with accented, dialectal, and code-switched speech.
- Strong written and verbal communication.
Nice to have
- An advanced degree
- Low-resource languages
- Responsible-AI considerations for speech, such as bias across accents and dialects and privacy and consent in voice data
About the company
Innodata is a global data engineering company that provides data, evaluation frameworks, and human expertise to build AI systems. They have a 36+ year legacy delivering data and outcomes for customers.