Job Overview
Location
Poland
Job Type
Full-time
Category
Product Management
Date Posted
May 12, 2026
Full Job Description
đź“‹ Description
- • Join Appen Limited as a Voice Recording Specialist to contribute to the development of AI-powered speech recognition systems by recording scripted commands in Polish.
- • Day-to-day tasks include recording short, scripted phrases clearly and naturally using the Appen Mobile app, following pronunciation and recording guidelines, completing a full session of 500 prompts, and reviewing recordings for quality before submission.
- • Appen Limited is a global leader in AI training data, supporting the advancement of language technologies and voice-enabled applications through a distributed workforce of contributors.
- • This role offers the opportunity to gain hands-on experience in AI data collection, improve attention to detail in audio recording, and contribute directly to the training of speech recognition models used in real-world applications.
🎯 Requirements
- • Native-level fluency in Polish (Poland)
- • Currently residing in Poland
- • 18 years old or above
- • Access to a smartphone compatible with the Appen Mobile app
- • Ability to follow instructions and maintain high-quality recordings
🏖️ Benefits
- • Flexible hours – Work on your own schedule
- • Remote – Participate from anywhere within Poland
- • Fair pay globally – Competitive compensation based on completed sessions
- • Simple tasks – Easy-to-follow recording prompts using your smartphone
Skills & Technologies
About Appen Limited
Appen Limited is an Australian publicly traded company that provides data annotation, collection, and evaluation services to improve machine-learning models for technology, automotive, and government clients worldwide. Leveraging a global crowd of over one million contributors, it produces high-quality training data for speech recognition, computer vision, search relevance, natural-language processing, and sentiment analysis systems. Founded in 1996 and headquartered in Sydney, Appen supports more than 235 languages and dialects, enabling scalable, accurate datasets that power AI applications across autonomous vehicles, virtual assistants, e-commerce, and social media platforms while emphasizing ethical crowd practices and data security.
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