Vega Audio Data Collection   | OneForma

Data Collection

Vega Audio Data Collection  

Worldwide-icon Worldwide
Fixed Rate Per Approved Asset-icon Fixed Rate Per Approved Asset

Description: 

OneForma is seeking bilingual speakers to participate in the Vega Audio Data Collection project. 

In this remote, task-based project, participants will record 6–7 realistic dialogue sets based on provided scripts. Each dialogue simulates a natural conversation between a customer service agent and a customer. 

Your role is to bring the script to life with fluent, conversational delivery, naturally alternating between two languages (code-switching) as indicated. Recordings must be clear, high-quality, and completed using a quiet recording environment and reliable equipment. 

This is a one-time task that takes approximately 1–2 hours to complete. Compensation is provided after successful quality review of submitted recordings. 

Purpose: 

The goal of this project is to collect high-quality, natural conversational speech data to support the development and improvement of voice technology systems. A key focus is authentic code-switching — the natural practice of alternating between two languages within a conversation. 

Main Requirements: 

  • Native speaker of the main project language (apply to see the list) 
  • Upper-Intermediate to Proficient (L2) level in the secondary language (apply to see the list) 
  • Ability to naturally alternate between both languages in conversation 
  • 18 years of age or older 
  • Access to a reliable computer and high-speed internet 
  • Professional-quality microphone or headset 
  • Ability to record in a quiet, private environment without background noise 
  • Detail-oriented and able to follow script instructions carefully 

About OneForma

OneForma is a global digital and technology services company. We combine data, intelligence, and experience to deliver human-centric solutions to complex business challenges.

OneForma is an equal-opportunity employer and will not discriminate against any of our applications based on race, gender, religion, or cultural background.