English Audio Transcription Specialist

Alignerr

Sydney

Remote

AUD 25,000 - 39,000

Part time

4 days ago
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Job summary

Alignerr is seeking an English Audio Transcription Specialist (AI Training) in Sydney for a fully remote hourly contract. You will convert spoken audio into precise, well-formatted text to help AI learn from diverse accents and speech patterns.

The role emphasizes accuracy, following project guidelines, and independent, flexible work.

Qualifications

  • Native or near-native English listening with strong comprehension.
  • Detail-oriented with methodical approach and consistency.
  • Able to follow structured guidelines and work asynchronously.

Responsibilities

  • Listen to English audio and produce precise verbatim transcripts.
  • Capture natural speech including fillers and speaker changes when required.
  • Apply consistent formatting, punctuation and spelling per project guidelines.
  • Identify unclear or inaudible segments and flag them for review.
  • Review and proofread transcripts for accuracy and completeness.
  • Work independently and on your own schedule.

Skills

English listening
Detail oriented
Independent work
Strong written English
Remote/async work

Tools

Transcription tools
Audio editing software

Job description

English Audio Transcription Specialist (AI Training)

What if your sharp ear and command of English could directly shape how AI listens to and understands the spoken word? We're looking for English Audio Transcription Specialists in Sydney to convert spoken audio into accurate, well-formatted text — helping AI systems learn to process real human speech with all its accents, nuances, and complexity. Australia's native English-speaking workforce and familiarity with diverse global accents make Sydney an ideal location for this role. This is a fully remote, flexible contract role. No prior transcription or AI experience is required — just excellent English listening skills, strong attention to detail, and a reliable internet connection.

  • Organization: Alignerr
  • Type: Hourly Contract
  • Location: Remote
  • Commitment: 10–40 hours/week
What You'll Do
  • Listen to audio recordings in English and produce precise, verbatim transcriptions
  • Accurately capture spoken content including natural speech patterns, filler words, and speaker changes where required
  • Apply consistent formatting, punctuation, and spelling conventions according to project guidelines
  • Identify and flag unclear, inaudible, or ambiguous audio segments
  • Handle a diverse range of audio types — conversations, interviews, lectures, podcasts, customer interactions, and more
  • Review and proofread transcriptions for accuracy, completeness, and adherence to style guides
  • Work independently and asynchronously — fully on your own schedule
Who You Are
  • Native or near-native fluency in English with excellent listening comprehension
  • Strong written English skills — confident with grammar, spelling, and punctuation
  • Naturally detail-oriented with a consistent, methodical approach to work
  • Able to follow structured guidelines and apply them accurately at scale
  • Comfortable working with different accents, speaking speeds, and audio quality levels
  • Self-motivated and reliable when working independently
  • No prior transcription, AI, or tech experience required
Nice to Have
  • Experience in transcription, closed captioning, subtitling, or stenography
  • Familiarity with transcription tools or audio editing software
  • Background in linguistics, journalism, communications, or media production
  • Experience working with varied English dialects and accents (American, British, Australian, Indian, etc.)
  • Fast, accurate typing skills (70+ WPM)
  • Knowledge of specialized vocabulary in fields such as medicine, law, technology, or finance
Why Join Us
  • Work on cutting-edge AI projects alongside leading research labs
  • Fully remote and flexible — work when and where it suits you
  • Freelance autonomy with the structure of meaningful, task-based work
  • Contribute to AI development that directly improves how technology understands human speech
  • Build skills in a high-demand field at the intersection of language and AI
  • Potential for ongoing work and contract extension as new projects launch
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