Transcription Specialist - Amharic

OpenKrill

United States

Remote

USD 20,664,000 - 34,440,000

Part time

13 days ago
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Benefits offered by this job

Flexible hours
Remote - work from anywhere
Fair pay globally
Scalable earnings

Job summary

OpenKrill is seeking a Transcription Specialist to review audio files and produce accurate transcripts that support AI language model development. You will add timestamps, identify speakers, and mark non-speech events to ensure high-quality data.

The role is remote and project-based, with pay set per audio hour and flexible hours. Prior transcription experience and strong attention to detail are essential for success in this Independent Contractor position with CrowdGen.

Qualifications

  • Fluent in Amharic spelling conventions
  • Fluent in Ethiopian dialect
  • Good reading comprehension in English
  • Stable internet connection
  • Strong attention to detail
  • Able to review examples and apply transcription rules
  • Prior transcription experience
  • Prior experience with audio data
  • Access to a PC/laptop or iPad

Responsibilities

  • Transcribe audio recordings into text with high accuracy
  • Capture speech exactly as spoken, including pauses and fillers
  • Add timestamps to match the audio
  • Identify and label speakers in conversations
  • Mark non-speech events such as laughter or background noise

Skills

Amharic spelling
Ethiopian dialect
English reading comprehension
Attention to detail
Transcription experience
Audio data experience
Remote work readiness
PC/Laptop or iPad access

Tools

PC/Laptop
iPad

Job description

Join us as a Transcription Specialist and contribute to improving AI-driven speech recognition. You will review audio files, transcribe spoken content accurately, and refine transcripts to ensure high-quality data that supports the development of advanced language models.

Project Benefits
  • Flexible hours - Work on your own schedule
  • Remote - Work from anywhere
  • Fair pay globally - Always above minimum wage in your market
  • Scalable earnings - The more you work, the more you earn
Task Summary (What to Expect)

Your role in this project is to listen to audio recordings and create accurate written transcripts of what is spoken. These transcripts will help improve AI-powered speech recognition systems.

Your responsibilities may include:
  • Transcribing audio recordings into text with high accuracy
  • Capturing speech exactly as spoken, including pauses, filler words (e.g., "uh," "um"), repetitions, and incomplete sentences
  • Adding timestamps to match the audio
  • Identifying and labeling different speakers in conversations
  • Marking non-speech events such as laughter, background noise, or unclear audio

Attention to detail and strong listening skills are important to ensure high-quality transcription output.

What We're Looking For

To qualify for this project, the following requirements must be met:

  • Excellent knowledge of and familiarity with spelling conventions in Amharic language.
  • Can be located anywhere, but must be fluent in Ethiopian dialect.
  • Good reading comprehension skills in English.
  • Stable internet connection.
  • Strong attention to detail.
  • Ability to review examples and apply rules to the provided data.
  • Prior experience with transcription.
  • Prior experience with audio data.
  • Access to a PC/laptop or an iPad.
Payments

You will be paid at the published rate per audio hour. Tasks are presented in units of varying audio lengths, and you may complete as many units as you wish.

All submitted work must meet the required quality standards. Failure to meet quality requirements may result in task rejection.

This is a project-based opportunity with CrowdGen, where you will join the CrowdGen Community as an Independent Contractor. If selected, you will receive an email from CrowdGen with instructions to create your account, complete setup requirements, and proceed with participation in the project.

If you're passionate about precision, language, and AI innovation - we'd love to have you on the team!

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