Transcription Specialist
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Job Description
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Join us as a Transcription Specialist and contribute to improving AI-driven speech recognition. You will review audio files, transcribe spoken content accurately, and refine transcripts to ensure high-quality data that supports the development of advanced language models.
Task Summary (What to Expect)
Your role in this project is to listen to audio recordings and create accurate written transcripts of what is spoken. These transcripts will help improve AI-powered speech recognition systems.
Your responsibilities may include:
- Transcribing audio recordings into text with high accuracy
- Capturing speech exactly as spoken, including pauses, filler words (e.g., "uh," "um"), repetitions, and incomplete sentences
- Adding timestamps to match the audio
- Identifying and labeling different speakers in conversations
- Marking non-speech events such as laughter, background noise, or unclear audio
Attention to detail and strong listening skills are important to ensure high-quality transcription output.
What We're Looking For
To qualify for this project, the following requirements must be met:
- Excellent knowledge of and familiarity with spelling conventions in Vietnamese language
- Fluent in Vietnam dialect and located anywhere
- Good reading comprehension skills in English
- Stable internet connection required
- Strong attention to detail
- Ability to review examples and apply rules to the provided data
- Prior experience with transcription and audio data
- Access to a PC/laptop or an iPad
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CrowdGen
View Company ProfileCrowdGen is the flagship global contributor platform powered by Appen, an industry-leading data and machine learning company. Operating as a massive, decentralized remote workforce engine, the platform fundamentally democratizes AI development by connecting tech enterprises with over 1 million remote contributors across 200 countries and 500+ languages. Under the hood, CrowdGen powers the intensive data annotation, sentiment analysis, and Reinforcement Learning from Human Feedback (RLHF) required to train the world's most advanced Large Language Models (LLMs) and computer vision systems. Contributors get paid flexibly to complete highly specific micro-tasks—ranging from evaluating search engine accuracy and fact-checking social media content to recording voice samples and testing VR hardware. Their primary target audience includes leading tech giants, AI research labs, and enterprise data science teams that desperately need massive amounts of high-fidelity, human-verified data to remove AI bias and improve model accuracy. What sets CrowdGen apart in the rapidly expanding gig economy is its deep ethical commitment to fair remote compensation and its unparalleled ability to seamlessly deploy a highly diverse, global talent pool to solve incredibly complex machine learning bottlenecks at scale.
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