Principal Speech Data Linguist

Job not on LinkedIn

🕒 September 24

🇺🇸 United States – Remote

💵 $160k - $185k / year

⏰ Full Time

🔴 Lead

👻 Ghost score 21%

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InnoData

WebsiteLinkedInAll Job Openings

2 - 10 employees

Founded 2019

🤝 B2B

💼 Consulting

🌍 Social Impact

B2B • Consulting • Social Impact

InnoData is INNOvation DATA SCS, an Italian social cooperative based in Foggia that identifies itself as a provider of technological solutions. The company website (currently under maintenance) highlights "Soluzioni tecnologiche" (technological solutions) and emphasizes social impact ("Impatto sociale"). Contact details listed include Via Francesco Crispi 65, 71121 Foggia, Italy. Based on the available information, InnoData appears to operate at the intersection of technology and social impact, likely offering tech-focused services to other organizations.

📋 Description

• Own the linguistic foundation of Innodata's segmentation and transcription work across languages, domains, and use cases • Define transcription and segmentation standards, style guides, and annotation conventions • Establish and run quality frameworks, including rubrics, error taxonomies, adjudication processes, inter-annotator agreement, and human QA at scale • Own the end-to-end quality lifecycle for transcription and segmentation deliverables • Design human-in-the-loop workflows for review, correction, and adjudication as ASR quality improves • Handle difficult cases including accented and dialectal speech, low-resource and multilingual audio, overlapping speech, domain jargon, and noisy acoustic conditions • Partner with the Speech & Audio Research Scientist to translate model objectives into specifications and assess how transcription methods affect ASR, TTS, and speech/content-understanding models • Train, calibrate, and mentor expert transcribers and reviewers • Represent Innodata's transcription and segmentation approach to customers and frontier labs • Contribute to methodology and best-practice documentation

🎯 Requirements

• Substantial industry experience (typically 8+ years) in transcription, segmentation, and speech-data quality • Bachelor's degree in linguistics, phonetics, computational linguistics, or a closely related field is required • Strong foundation in phonetics, phonology, and sociolinguistics • Big-picture grasp of how transcription and segmentation choices affect speech and content-understanding models • Fluency in phonetic transcription and IPA • Hands-on experience with acoustic and phonetic analysis, including spectrograms, formants, pitch, prosody, and segment boundaries • Deep experience with audio segmentation, utterance and turn boundaries, timestamping, speaker labeling, and diarization • Hands-on fluency with Whisper, commercial ASR engines such as AssemblyAI, Deepgram, Rev, and Speechmatics, Montreal Forced Aligner, and ELAN • Python scripting for batch processing, QA, and metrics such as inter-annotator agreement and WER • Regular expressions and Praat scripting • Practical data-management skills across preprocessing, quality checks, post-processing, validation, and report packaging • Multilingual capability and hands-on experience with accented, dialectal, and code-switched speech • Strong written and verbal communication • Comfortable working with research scientists and customers • Bonus: responsible-AI considerations for speech, including accent and dialect bias, privacy, and consent in voice data

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