Audio Transcription & Alignment Specialist

Alignerr

Bengaluru, Karnataka, IndiaFresher1h agovia LinkedIn

About the Role

We are looking for Audio Transcription & Alignment Specialists to clean up word-level transcripts inside a proprietary editor. This role involves correcting text and precisely aligning timing boundaries to match spoken audio, frame by frame, word by word.

  • Organization: Alignerr
  • Type: Hourly Contract
  • Location: Remote
  • Commitment: 10–40 hours/week

Key Responsibilities

  • Review and correct word-level transcripts for accuracy, spelling, grammar, and adherence to strict style and formatting conventions.
  • Precisely align word and segment timing boundaries to match spoken audio at the millisecond level.
  • Work inside a specialized web-based audio labeling tool to edit text and timing simultaneously.
  • Follow detailed transcription style guides and rule-based conventions with absolute consistency.
  • Identify and resolve edge cases, including overlapping speech, filler words, false starts, background noise, and unclear audio.
  • Maintain high accuracy and quality standards across large volumes of audio tasks.
  • Meet reliable turnaround times on tight per-task deadlines.
  • Work independently and asynchronously on your own schedule.

Requirements & Tech Stack

  • Native or near-native English fluency with excellent listening comprehension.
  • Exceptional attention to detail.
  • Comfortable following strict style guides and applying rule-based conventions consistently.
  • Experienced with or quick to learn specialized web-based editing tools and interfaces.
  • Methodical, patient, and precise.
  • Self-motivated and reliable when working independently.
  • Strong ability to distinguish speech nuances, including accents, dialects, mumbled words, and overlapping speakers.

Qualifications

  • Background in closed captioning, court reporting, or professional transcription.
  • Experience in linguistics, phonetics, or audio data annotation.
  • Familiarity with audio labeling tools, waveform editors, or subtitle/caption software (e.g., Praat, ELAN, Subtitle Edit).
  • Prior work in speech-to-text quality assurance or audio post-production.
  • Experience following detailed annotation guidelines in data labeling or AI training projects.
  • Fast, accurate typing skills.

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