Appen
Voice AI Data Collection: Poland (Polish)
TLDR
Contribute to Project Moskva by recording speech data to improve AI's understanding of natural human language and enhance voice recognition systems.
Join the Appen team as an Independent Contractor for Project Moskva.
Project Moskva aims to help build more natural and intelligent voice AI systems by collecting high-quality speech data from native speakers. The goal is to improve how AI understands real human language, accents, and everyday spoken commands.
In this project, participants contribute by reading and recording short, scripted prompts in their native language. These recordings are used to train and evaluate speech recognition models, enabling voice assistants and AI systems to better understand and respond to real-world users.
Key Responsibilities:
- Must be able to complete the task in a quiet environment for recording clear audio
- Must be willing to complete ~500 short scripted prompts (or fewer if assigned)
- Must maintain at least 90% QA acceptance rate to be eligible for payment
Key Requirements:
- Must be a native speaker of Polish
- Must be currently residing in Poland
- Must be 18 years old or above
- Must have a smartphone compatible with the Appen Mobile app
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.
Join us in shaping the future of voice AI. Your participation in Project Moskva will directly help improve how technology understands and responds to real human speech.
#crowdgen
Appen is a global leader in high-quality data management services that support AI development for industry leaders. By leveraging a vast network of over 1 million crowd workers, we provide the human-curated data needed to enhance machine learning, speech recognition, and other AI capabilities.
- Founded
- Founded 1996
- Employees
- 500+ employees
- Industry
- IT Services
- Total raised
- $59M raised