AI Specialist - Podcast Transcription (Hungarian) - Remote
About the Role
Join the Nidoking Project as an AI Specialist - Podcast Transcription (Hungarian) - Remote and help improve AI-powered speech recognition. This role offers you the chance to work flexibly from anywhere in the world while contributing to the development of advanced communication models. As an AI Specialist, you will check and edit audio segmentation and transcription, ensuring accuracy and quality for AI training.
What You'll Do
- Review and correct machine-generated transcriptions to enhance AI accuracy.
- Adjust audio segment boundaries to ensure proper alignment with spoken content.
- Follow detailed task guidelines to maintain consistency and quality.
- Ensure transcription accuracy for AI training purposes.
- Work flexible hours – you can set your own schedule.
- Contribute to the scalable earnings model – the more you work, the more you earn.
- Minimum commitment of 10 hours per week with opportunities to scale up hours.
Requirements
- Must be residing in Hungary.
- Proficient in Hungarian (spoken and written).
- Good reading comprehension skills in English.
- Strong listening skills and attention to detail.
- Reliable internet connection and a laptop or desktop (mobile devices not supported).
- Understanding of basic linguistic concepts.
- Ability to review examples and apply rules to provided data.
- Prior experience with transcription and annotating acoustic data is preferred.
Nice to Have
- Experience in AI or machine learning projects.
- Knowledge of additional languages.
- Familiarity with audio editing tools.
What We Offer
- Flexible hours – work on your own schedule.
- Remote work – enjoy the freedom of working from anywhere.
- Fair pay globally – always above minimum wage in your market.
- Scalable earnings – the more you work, the more you earn.
This remote AI Specialist role offers flexible hours and the opportunity to work on innovative AI projects while earning above minimum wage.
Who Will Succeed Here
Proficient in AI concepts and tools, specifically in speech recognition technologies and transcription software such as Kaldi or Google Speech-to-Text, to ensure high-quality audio segmentation.
Detail-oriented and self-motivated, capable of working independently in a remote environment while managing time effectively to meet deadlines on transcription accuracy and editing.
Basic understanding of linguistic concepts and the Hungarian language, with a passion for language processing and an eagerness to learn about machine learning algorithms related to audio data.
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