Record Costa Rican Spanish
CrowdGen by Appen
Record Costa Rican Spanish
CrowdGen by Appen
Global crowdsourcing platform for ethical AI
Salary Range: 0.03 to 0.03 (Currency: USD) (Pay period: one-time)
We are looking for native Costa Rican Spanish speakers to participate in a data collection project. Participants will record 400 sentences by reading the text displayed on the screen.
✅ Record 400 sentences in Costa Rican 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
✅ Fully remote, work-from-home opportunity
✅ Simple sentence-recording task
✅ Opportunity to contribute to AI and speech technology
✅ Flexible project-based work
$0.030 USD per completed unit
✅ Native speaker of Costa Rican Spanish in Costa Rica
✅ Authentic, standard Costa Rican 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.
Global crowdsourcing platform for ethical AI
CrowdGen by Appen connects a global community of over 1 million contributors to help develop AI that is ethical, inclusive, and beneficial. The platform lets people earn money remotely by completing AI-related tasks that don’t require technical expertise, expanding participation beyond traditional workers. It charges clients for coordinating and validating these tasks, enabling the creation of AI datasets and models with diverse, representative inputs. Compared to other AI data-collection providers, CrowdGen emphasizes ethical development and diversity, ensuring voices from different backgrounds are represented in AI models. The company’s goal is to make AI development more equitable and trustworthy by broadening who participates in building and improving AI systems.
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