Language Expert for Audio Transcription (Japanese)

You will create accurate Japanese transcripts from audio and help improve AI systems that process spoken language. The work includes capturing context, speaker nuances, pronunciation, and other language details.

You will also review existing transcripts, correct mistakes, add notes or metadata, and submit completed work using transcription tools and project platforms.

• Transcribe Japanese audio samples accurately.
• Review, edit, and validate transcripts for clarity, completeness, and project guidelines.
• Correct errors, inconsistencies, and unclear passages in machine-generated or human-created transcripts.
• Add relevant metadata and contextual notes to audio files or transcripts.
• Share linguistic and cultural insights that can improve AI understanding of spoken Japanese.
• Work with project managers and other experts to keep quality consistent.

• Pay: $20 to $36 per hour.
• Time: Less than 20 hours per week.
• Location: Open to candidates in multiple countries, including Japan, the United States, Canada, the United Kingdom, and countries across Europe, Asia, Africa, and Latin America.
• Language: Professional fluency in Japanese and proficiency in English for project instructions and occasional English-language content.
• Experience: Entry-level role. Experience in audio transcription, linguistic review, localization, or related language work is encouraged.
• Preferred background: Familiarity with transcription conventions, audio review workflows, annotation tools, or speech data projects.
• You should have strong attention to detail, good organizational skills, and the ability to recognize subtle differences in language, pronunciation, and context.

Apply on OpenTrain with your resume, then complete the application on the hiring site.

AI training work is the human work behind systems that understand language, images, audio, and other data. People prepare and review examples so AI models can learn from accurate, carefully labeled information, and language expertise helps models handle meaning, context, and nuance.