Produce verbatim transcripts with 98%+ accuracy from single and multi-speaker audio.
Timestamp transcript segments precisely and label speakers in conversations.
Annotate non-speech events and follow guidelines to meet deadlines.
Our client is a leading provider of high-quality datasets for AI model development. They are an enterprise company focused on accuracy and flexible work arrangements.
Produce verbatim transcripts from single-speaker and multi-speaker audio recordings with a target accuracy rate of 98% or higher.
Timestamp transcript segments with precise alignment to audio, maintaining offsets of less than 500 milliseconds.
Identify and label speakers in conversations involving two to three participants.
They are a leading provider of high-quality, diverse datasets for AI model development. The company's size and culture are not specified in the posting.
Review audio files and transcribe spoken content with high accuracy, including pauses, filler words, and speaker labels.
Add timestamps and mark non-speech events such as laughter or background noise.
Ensure transcripts meet quality standards for training advanced language models.
Appen, through its CrowdGen platform, provides data for AI and machine learning projects. It operates as a large community of independent contractors working on project-based tasks globally.
Transcribe audio recordings accurately into text, capturing speech including pauses, filler words, and speaker labels.
Add timestamps and mark non-speech events such as laughter or background noise.
Review and refine transcripts to ensure high-quality data for AI speech recognition models.
Appen provides high-quality training data for AI and machine learning systems. It operates a global platform with a large community of independent contractors, offering flexible remote work opportunities.
Produce verbatim transcripts from audio recordings with 98%+ accuracy.
Timestamp segments with precise alignment and identify speakers in conversations.
Annotate non-speech events and follow quality guidelines consistently.
Our enterprise client is a leading provider of high-quality, diverse datasets for AI model development. They are a large organization seeking skilled contractors to support their transcription needs.
Listen to audio recordings in your native language and transcribe them verbatim.
Follow provided transcription guidelines to deliver high-quality, accurate transcriptions.
Help create ground-truth data used to evaluate and improve automatic speech recognition systems.
RWS is a technology and language services company specializing in AI training data and automatic speech recognition. They are a large global organization that embraces DEI and promotes equal opportunity, offering flexible freelance work.
Record 20 scripted prompts (each under one minute) on a web platform in French.
Read clearly and naturally using a laptop in a quiet indoor space.
Follow guidelines to ensure clarity, consistency, and natural delivery by the deadline.
Welo Data provides AI data services to help advance voice and AI technology. As a freelance community, we offer flexible project-based work with a focus on quality and collaboration.