You will listen to audio recordings to produce precise, verbatim transcripts including timestamps, speaker labels, and event annotations. Your work directly contributes to the improvement of AI-powered speech recognition models.
The role involves listening to audio recordings to produce precise, verbatim transcripts including timestamps and speaker labels. You will also perform event annotation for non-speech elements to help improve AI-powered speech recognition models.
Perform precise, verbatim transcription of audio recordings including speaker labeling and event annotation. Contribute to the development of AI-powered speech recognition models by ensuring high accuracy in data processing.
You will listen to audio recordings to produce precise, verbatim transcripts including timestamps, speaker labeling, and event annotations. Your work directly contributes to the development and improvement of AI-powered speech recognition models.
You will listen to audio recordings to produce precise, verbatim transcripts including speaker labeling and event annotation. Your work directly contributes to the development and improvement of AI-powered speech recognition models.
You will listen to audio recordings to produce precise, verbatim transcripts including timestamps and speaker labels. Your work will also involve annotating non-speech elements to help improve AI-powered speech recognition models.
You will listen to audio recordings to produce precise, verbatim transcripts including timestamps, speaker labels, and event annotations. Your work directly contributes to the development and improvement of AI-powered speech recognition models.
You will listen to audio recordings to produce precise, verbatim transcripts including non-speech elements and speaker labeling. Your work directly contributes to the development and improvement of AI-powered speech recognition models.
Record 150 short, scripted Russian voice prompts using the Appen Mobile app on a smartphone. Speak clearly and naturally while following the recording guidelines so the recordings can support the training and evaluation of speech recognition models.
Record 150 short, scripted voice prompts in Vietnamese using the Appen Mobile app. These recordings are used to train and evaluate speech recognition models for AI systems.
Record 150 short, scripted voice prompts in Russian using the Appen Mobile app. These recordings will be used to train and evaluate speech recognition models for voice AI systems.
Record 150 short, scripted voice prompts in Greek using the Appen Mobile app. These recordings are used to train and evaluate speech recognition models for AI systems.
Record 150 short, scripted voice prompts in Danish using the Appen Mobile app. These recordings will be used to train and evaluate speech recognition models for AI systems.
Record 150 short, scripted voice prompts in Croatian using the Appen Mobile app. These recordings are used to train and evaluate speech recognition models for AI systems.
Record 150 short, scripted voice prompts in Czech using a mobile application. These recordings will be used to train and evaluate speech recognition models for AI systems.
Record 150 short, scripted voice prompts in Swedish using the Appen Mobile app. These recordings will be used to train and evaluate speech recognition models for AI systems.
Record 150 short, scripted voice prompts in Vietnamese using the Appen Mobile app. These recordings are used to train and evaluate speech recognition models for AI systems.
Participants will record 400 sentences in Peruvian Spanish by reading text displayed on a screen. You must maintain a consistent speaking volume and ensure all recordings are made in a quiet environment.
Participants will record 400 sentences in Chilean Spanish by reading text displayed on a screen. You must ensure all recordings are clear, natural, and performed in a quiet environment.
Participants will record 400 sentences by reading text displayed on a screen in a quiet environment. You must maintain a consistent speaking volume and ensure clear, natural pronunciation throughout the recordings.
Participants will record 400 sentences in Colombian Spanish by reading text displayed on a screen. You must maintain a consistent speaking volume and ensure all recordings are made in a quiet environment.
Participants will record 400 sentences in Mexican Spanish by reading text displayed on a screen. You must ensure clear, natural speech and maintain a consistent volume in a quiet environment.
Participants will record 400 sentences in Costa Rican Spanish by reading text displayed on a screen. The role requires maintaining a consistent speaking volume and clear, natural pronunciation in a quiet environment.
Perform various data tasks including annotations, classifications, and sentiment analysis. Contribute to project Whatcom by completing tasks to earn pay-per-task compensation.
You will record short, natural conversations in the Kansai dialect and review audio data for clarity and authenticity. Additionally, you will help distinguish between the Kansai dialect and Standard Japanese to support AI speech data training.
You will perform various data tasks including annotations, classifications, and sentiment analysis. These tasks are part of a gig-based project designed to provide flexible earning opportunities.
Perform various data tasks including annotations, classifications, and sentiment analysis. Contribute to project-based work to earn pay per completed task.
Perform various data tasks including annotations, classifications, categorizations, and sentiment analysis. Contribute to project-based gig work with a focus on high-volume task completion.
Perform various data tasks including annotations, classifications, categorizations, and sentiment analysis. Contribute to project-based gig work through the Appen platform.
Validate Vietnamese audio recordings by selecting correct labels based on provided guidelines. Assess the accuracy of pronunciation and specific language accents to improve speech AI recognition.
Record 250 short sentences in Lao using the Appen Task app to help train AI speech recognition. Ensure recordings are clear, natural, and conducted in a quiet environment.
Evaluate machine translations by assessing text and assigning semantic similarity scores. Assess the accuracy, fluency, and overall quality of online messages translated by machines.
