What the work involves

You work from scripts and prompts supplied by the project team, recording clips in both French and English. Sessions are not studio-perfect by design: you may be asked to record in a stationary car, a quiet office, or a room with specific ambient conditions, because the customer needs speech data that reflects how people actually talk to devices. Some tasks ask you to produce controlled background sounds — rustling paper, tapping a surface, a door closing — captured cleanly and safely alongside or between takes.

The second half of the job is evaluative. You listen back to your own and others' samples and rate clarity, intelligibility, and whether a clip meets spec. Every file has to be logged with the right metadata: prompt ID, language, environment, device, and any deviations. Sloppy documentation makes otherwise good audio unusable, and that is the most common reason contributors get cut.

What the screen looks for

  • Native-level French, verified through spoken and written response rather than self-report. Regional variety is generally fine; the screen is checking fluency and articulation, not accent neutrality.
  • Functional English at B2 or above — enough to read English scripts naturally and follow written technical instructions without clarification loops.
  • Whether you can follow a precise, slightly odd instruction exactly as written instead of improving on it.
  • Evidence you have a workable recording setup and can describe it: mic, room, how you handle noise floor and clipping.
  • Prior voice-over, dubbing, transcription, or field-recording experience helps but is not required.

Logistics

Fully remote contractor work, largely async. You claim batches, record on your own schedule, and submit through micro1's platform; coordinators return feedback and occasional re-record requests. Volume comes in waves tied to customer batches, so treat this as variable supplementary work rather than a fixed weekly load. The $30–65/hr range is what contributors have reported on this project class — actual rate depends on task type, language pair, and batch, and is set by the platform, not guaranteed here.