> Markdown version of [/jobs/ext/4098576-audio-ai-specialist-speech-data-quality-annotation-korean-or-japanese](https://www.wearedevelopers.com/jobs/ext/4098576-audio-ai-specialist-speech-data-quality-annotation-korean-or-japanese). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Audio AI Specialist (Speech Data, Quality & Annotation) - Korean or Japanese

- **Company:** GRACEMARK, LLC
- **Location:** United States (Remote available)
- **Salary:** $41,600 - $52,000
- **Contract:** Permanent contract
- **Skills:** AI Evaluation, Artificial Intelligence, Sound Recording and Reproduction, Bash Shell, Spreadsheets, Data Validation, JSON, Python (Programming Language), Machine Learning, Praat, Standard Sql, Core Voice Platform, Ethernet Local Area Network, Speech Synthesis
- **Published:** October 18, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=8de30541af59f99b

## About the Role

This role focuses on improving the quality, consistency, and usability of speech datasets used to train next-generation AI voice models. The ideal candidate has hands-on experience with audio AI training data, speech annotation, transcription, and audio quality evaluation, along with professional fluency in Korean or Japanese.

Candidates should have a strong ear for audio quality, excellent attention to detail, and the ability to identify subtle issues in real and synthetic speech., * Professional fluency in Korean or Japanese.

 * Direct experience working with audio AI training datasets or speech AI evaluation workflows.
 * Hands-on experience with ASR, text-to-speech (TTS), speech transcription, speech-to-speech, or conversational voice AI.
 * Experience with speech annotation, timestamp validation, segmentation, or diarization.
 * Strong ability to identify audio quality issues through listening and audio inspection.
 * Experience reviewing transcripts and checking linguistic accuracy and naturalness.
 * Familiarity with structured data formats such as spreadsheets, CSV, or JSON.
 * Excellent attention to detail and written communication skills.
 * Ability to work independently in a remote environment.

Preferred Qualifications

 * Experience with Audacity, Praat, ELAN, or similar audio inspection tools.
 * Basic Python, Bash, or SQL skills for data quality checks.
 * Background in linguistics, phonetics, speech research, localization, or voice recording.
 * Experience evaluating both human-recorded and synthetic speech.
 * Familiarity with accent and dialect variation.
 * Access to a quiet recording environment and suitable recording equipment.
 * Understanding of consent, licensing, and compliant handling of voice data.

## Description

* Review speech and voice recordings for technical, linguistic, and task-specific quality.
 * Identify background noise, clipping, distortion, echo, plosives, low signal levels, and unnatural silence.
 * Perform speech annotation and quality assurance, including transcription, timestamp validation, voice activity detection (VAD), segmentation, and speaker diarization.
 * Verify transcript accuracy, pronunciation, speaker labels, and associated metadata.
 * Record high-quality speech based on provided scripts and recording guidelines.
 * Apply established audio quality standards and document issues requiring correction.
 * Maintain consistency across audio files, transcripts, annotations, and metadata.
 * Help improve annotation guidelines, review checklists, and standard operating procedures.
 * Collaborate with research, machine learning, and operations teams to meet dataset requirements.