We are looking for native Colombian Spanish speakers to participate in a data collection project. Participants will record 400 sentences by reading the text displayed on the screen.
What you’ll do
✅ Record 400 sentences in Colombian Spanish ✅ Read each sentence exactly as displayed on the screen ✅ Speak naturally, clearly, and at a moderate pace
✅ Maintain a consistent speaking volume
✅ Complete all recordings using the same voice and account
What you’ll get
✅ Fully remote, work-from-home opportunity
✅ Simple sentence-recording task
✅ Opportunity to contribute to AI and speech technology
✅ Flexible project-based work
Pay rate
$0.030 USD per completed unit
What you’ll need
✅ Native speaker of Colombian Spanish ✅ Authentic, standard Colombian Spanish pronunciation ✅ Able to read and record sentences clearly ✅ Quiet environment with no background noise
✅ Clear speech and consistent volume
✅ Complete your own recordings — no voice or person substitution ✅ One account can only be used by one individual and one voice
Important: Recordings must be made in a quiet environment. Background sounds such as conversations, TV, music, traffic, car horns, birds, running water, or other noise should not be present.
This role is a project-based opportunity with CrowdGen, where you will join the CrowdGen Community as an Independent Contractor. If selected, you will receive an email from CrowdGen regarding the creation of an account using your application email address. You will need to log in to this account and reset the password, complete the setup requirements, and proceed with your application for this project-based role.
CrowdGen by Appen is a crowdsourcing platform that connects remote workers with on-demand tasks focused on data annotation and quality evaluation. The company specializes in gathering human feedback for AI and machine learning model training, with projects ranging from audio evaluation to text assessment. CrowdGen leverages a global network of contributors to complete ad-hoc tasks that help improve AI systems and voice technologies. Their work spans multiple languages and involves workers evaluating content quality according to client specifications.