Data Labeling Analyst - Speech & Voice AI Systems
Overview
Detail-oriented Data Labeling Analyst will own building datasets that power real-world AI systems. This high-impact production role focuses on creating accurate well-structured inputs for speech and voice AI. The position demands strong judgment attention to detail and consistency at scale. Work sits at the intersection of language data and AI systems where precision matters.
What You'll Do8
- 1Execute high-volume data labeling and annotation tasks across speech and voice datasets
- 2Follow detailed guidelines to ensure consistency accuracy and data integrity at scale
- 3Work with audio and language data including transcription categorization and tagging
- 4Maintain strong throughput while meeting quality expectations
- 5Escalate unclear or ambiguous cases appropriately
- 6Adapt to evolving guidelines and workflows as systems and requirements change
- 7Support baseline data production needs for AI training pipelines
- 8Contribute to team calibrations and quality alignment sessions
Requirements8
- 1Native-level fluency in Japanese
- 2Strong written communication skills and language fundamentals
- 31 year of work experience in data labeling annotation or content-focused work or a Bachelor's degree or equivalent academic qualification
- 4Ability to follow detailed instructions and apply guidelines consistently
- 5High attention to detail and ability to maintain accuracy in repetitive tasks
- 6Comfort working in structured process-driven environments
- 7Willingness to ask questions and escalate when needed
- 8Basic familiarity with AI speech technology or language data is a plus
Salary Insight
$54 - $58k per year
Location
Required Skills
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