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.

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