Japanese Audio Transcript Editor
Alignerr
New York, NYFresher40m agovia LinkedIn
This job at a glance
- Who can apply
- New grads, no experience needed
- Work
- Remote
- Pay
- Not stated by the employer.
- Listed
- Nov 7, 2026 · still open
About the Role
Alignerr is seeking detail-oriented Japanese Audio Transcript Editors for a remote contract role. This position involves cleaning up, correcting, and polishing audio transcripts to ensure accuracy in words, timestamps, and formatting, directly improving how AI understands spoken Japanese.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Listen to Japanese audio recordings and review corresponding transcripts for accuracy.
- Correct errors in transcription, including misheard words, missing segments, incorrect kanji, and punctuation issues.
- Verify and adjust word-level timing and alignment to match the audio precisely.
- Apply detailed style and formatting guidelines consistently.
- Flag unclear, ambiguous, or low-quality audio segments.
- Maintain high accuracy and consistency across large volumes of transcript data.
- Work independently and asynchronously on your own schedule.
Requirements & Tech Stack
- Native or near-native fluency in Japanese with excellent listening comprehension.
- Meticulous attention to detail.
- Comfortable working with word-level accuracy and exact timing in transcripts.
- Ability to follow detailed style guides and formatting rules precisely and consistently.
- Strong reading and writing skills in Japanese, including confident use of kanji, hiragana, and katakana.
- Self-motivated and reliable when working independently.
- Comfortable using web-based tools and audio playback interfaces.
Nice to Have
- Experience as a transcriptionist, court reporter, or captioning/subtitling editor.
- Background in linguistics, language studies, or Japanese language education.
- Prior work with annotation platforms, data labeling tools, or transcription software.
- Experience with closed-captioning workflows or subtitle timing.
- Familiarity with AI training data or speech recognition systems.