Linguistics Expert (AI Speech Annotation)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Linguistics Expert (AI Speech Annotation): Annotate natural conversational English recordings for speech AI systems with an accent on prosodic cues, speech boundaries, and spontaneous speech characteristics. Focus on validating and refining speech segmentation using Praat, producing verbatim time-aligned transcriptions, and identifying disfluencies, overlaps, and non-linguistic sounds.
Location: Must be residing in United States
$25 an hour
Company
platform connecting domain experts for AI data annotation projects like speech and language improvement.
What you will do
- Review and refine automatically generated speech boundaries using Praat to reflect coherent intonational phrases.
- Produce verbatim, time-aligned orthographic transcriptions capturing spontaneous speech including disfluencies, overlaps, and reduced forms.
- Identify prosodic cues such as pauses, pitch resets, final syllable lengthening, and non-linguistic sounds.
- Review waveform and spectrogram views to confirm segmentation by ear.
- Preserve natural speech characteristics like false starts, mimicry, and morphosyntactic variants.
Requirements
- Native or near-native proficiency in US English
- Must be residing in United States
- Prior experience with transcription and familiarity with Praat, ADAP, or similar speech annotation tools
- Strong understanding of phonetics, phonology, and prosodic annotation
- Ability to recognize intonational phrases, pitch accents, prosodic boundaries, disfluencies, and overlaps
- Background in linguistics, phonetics, speech science, or related fields preferred
- Strong attention to detail and consistency in transcription conventions
Culture & Benefits
- Work remotely with flexible hours
- Project-based independent contractor role
- Contribute to advancing speech and language AI technologies
Hiring process
- Apply to Project Iktomi
- Complete onboarding, qualification process, and project training if selected
- Opportunities limited, rolling basis selection
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