What the work involves
This is a single-task audio contribution, not an ongoing engagement. You receive a short script and a recording guide, read the script aloud in your own voice, and upload the file. AfterQuery uses recordings like these to build accented-English speech data for training and evaluating speech recognition and voice models, which is why authenticity matters more than polish — the value of the sample is that it sounds like a real Turkish speaker of English, not like a studio narrator.
Expect the guide to specify things like recording in a quiet room, holding a consistent distance from the microphone, avoiding background music or fans, and reading at a natural conversational pace rather than a performed one. Retakes are usually permitted; submissions with clipping, heavy room echo, or audible interruptions are the most common reasons a file gets rejected and has to be redone.
What the screen looks for
- Authenticity of accent. Screeners want speakers whose first language is Turkish or who grew up in a Turkish-speaking environment. Imitated accents are explicitly disqualifying and are usually detectable on a short sample.
- Ability to follow written English instructions unsupervised. There is no producer on the call. If the guide says 48 kHz mono WAV, the file needs to be that.
- Working equipment and a quiet space. A modern smartphone is sufficient; a laptop with a built-in mic in a noisy room usually is not.
Logistics
Fully remote and fully asynchronous — you record whenever you like within the turnaround window, which on quick-turn projects is typically a few days. Total time commitment is around 15 minutes including setup and upload. Pay is a flat $50 per accepted submission; whether further recordings follow depends on the project and is not promised at intake.