AI Data Annotator

We're hiring for a Fixed-Term-Contractual role for AI Data annotators for Transcription work.

How to Apply:

Kindly fill you details in the google form below to apply:

https://forms.gle/Y5bwAXiYGfdNcD6cA

Further instructions:

• Once you have filled the form, within a few hours you will receive login credential to our platform foundry.zyka.ai where you can login and go to the guideline section to review guideline for the Transcribe workflow task.
• You can view video instructions by clicking the red play button on the top of guideline header.
• Once you have viewed the video, you can go to the onboarding section on the side bar and click on transcribe.
• There will be two modules (Training and Testing) you can view the training module examples which has around 30 samples for your review, once you have reviewed each sample mark them as 'MARK REVIEWED' and proceed further down.
• After you have reviewed each example, the testing module will unlock where you can finally attempt the test.

About the role

You'll listen to audio and analyze the transcript based on guidelines - writing in lowercase, adding appropriate tags for filled pauses and backchannels, catching mis-transcriptions, and making sure every word is transcribed correctly.

The work is detail-heavy and quiet. If you like careful, focused tasks and have a good ear for language, it's a strong fit.

This is a fully remote role.

What you'll be doing:

• Listening to audio and checking the transcript to what's actually spoken
• Correcting missing or extra words, and transcription errors
• Applying detailed annotation guidelines consistently across large volumes of work
• Flagging unclear audio, edge cases, and anything the guidelines don't cover

What you'll need:

• A laptop or desktop computer. This work can't be done on a phone or tablet.
• Headphones and a quiet environment. You'll be listening closely to short segments of speech, often repeatedly.
• Strong English writing and comprehension. You should be comfortable reading detailed guidelines and picking up on subtle differences in wording.

Prior AI annotation experience in Transcription or relevant field is required Training and guidelines are provided.