Description review

Audio Content Recorder (English language, South African regional variant)

TSMG · South Africa · back to the listing

HR standards

58/100

needs work

Title ↔ description

75/100

solid

Reads as

Unclear

no confident match

What the listing never says

  • No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
  • No location or timezone policy stated, so a candidate cannot tell where they may work from. Scope clarity

The listing, marked up

Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.

Project Overview

We are looking for participants to contribute to an audio data collection project designed to support the development of advanced voice technologies. The role involves recording natural, everyday speech in real-world environments using your personal device.

Recordings should reflect authentic conversations or spoken content on general topics and include a variety of background conditions and speaking styles.

Each submission must be in MP3 or MP4 format and contain a minimum amount of spoken content. All recordings must remain non-sensitive and avoid personal or private information.

Responsibilities

• Record and submit audio files in the required format

• Ensure recordings meet the minimum content requirements

• Speak naturally on general, everyday topics

• Capture audio in different environments and background conditions

• Maintain clear and understandable speech quality

Requirements

• Access to a compatible smartphone with up-to-date software

• Ability to record clear audio in various environments

• Comfortable speaking naturally and consistently

• Ability to follow project guidelines and instructions

• Commitment to avoiding sensitive or personal content in recordings

Originally posted on Himalayas

How this was produced

Highlights are found by rule, not by a model: each one is a phrase matched at a known position, and every note is a template we wrote. The two scores come from a typed-decision model (Jev) that reads the listing against the official role definition and real listings for the same role, and returns probabilities rather than prose — it never writes any of the words on this page, and never chooses what to highlight.

Deterministic penalty applied to the HR score: 8 points (from 66 before penalties). Reviewed 21 Sep 2026.