[Hiring] Japanese Audio QA Annotation Specialist @MatchaTalent

Role Description

This role requires the candidate to work remotely from Japan.

The Japanese Audio QA Annotation Specialist is responsible for reviewing, evaluating, and validating Japanese audio recordings to ensure they meet the highest quality standards required for AI speech recognition and audio annotation projects.

Working as part of a multilingual quality assurance team, this role focuses on assessing:

• Recording accuracy
• Pronunciation
• Fluency
• Audio clarity
• Annotation consistency
• Compliance with project guidelines

The successful candidate will help ensure that all approved audio data contributes effectively to the development of advanced multilingual AI speech technologies.

Qualifications

• Native-level fluency in Japanese with excellent listening comprehension and pronunciation knowledge.
• Minimum 1 year of experience in audio quality assurance, audio annotation, localization, transcription review, voice-over, dubbing, ADR, or related language quality roles.
• Strong attention to detail with the ability to identify pronunciation, fluency, and audio quality issues accurately.
• Excellent understanding of Japanese linguistic nuances, regional dialects, grammar, honorific expressions, and natural speech patterns.
• Experience reviewing audio recordings and applying quality standards consistently.
• Familiarity with audio editing or audio playback software is preferred.
• Strong analytical skills with the ability to provide clear and actionable quality feedback.
• Ability to work independently while meeting project deadlines and quality targets.

Requirements

• Review and evaluate Japanese audio recordings for quality, pronunciation accuracy, clarity, and natural speech delivery.
• Verify annotation accuracy and ensure all submitted recordings comply with project guidelines and quality standards.
• Identify audio quality issues including background noise, recording inconsistencies, pronunciation errors, or technical defects.
• Provide structured quality feedback and recommend improvements when recordings do not meet required standards.
• Ensure consistency across annotated datasets by following established QA processes and evaluation criteria.
• Collaborate with project reviewers and annotation teams to maintain high-quality multilingual datasets.
• Maintain accurate documentation of review outcomes and quality assurance findings.
• Support the continuous improvement of AI speech recognition models through high-quality audio validation.

Company Description

Our client is a global artificial intelligence technology company specializing in the development of advanced large language models (LLMs), speech recognition technologies, multilingual AI systems, and data annotation solutions.

The organization collaborates with leading AI research laboratories and enterprise technology companies worldwide to accelerate the development of next-generation artificial intelligence through high-quality human-generated data.

Supporting a diverse portfolio of multilingual AI initiatives, the company works with language specialists, voice professionals, and annotation experts across the globe to improve the accuracy, contextual understanding, and performance of cutting-edge AI systems used in speech processing, conversational AI, and natural language understanding.