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Why this grade This listing scored 18/100, which is an F. It lost the most ground on pay transparency. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Role specificity 0 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Freshness 0 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Pay transparency 0 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
-15 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
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 Portuguese language.
- Can be located anywhere, but must be fluent in Mozambique 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!
Originally posted on Himalayas
Apply for this role Opens himalayas.app — the link as listed; we have not yet verified it is the employer's own page
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Where this listing came from
- 03 Jul 2026 Himalayas first sighting
Seen on 1 board over 0 days.