Data Annotator

TLDR

Take ownership of transcribing, tagging and annotating data for training AI models while analyzing conversational bots for insights.

Role description

As data associate, you will work closely with the product and machine learning team. Your role would involve taking ownership of transcribing, tagging and annotating data for training AI model.

The role would also involve monitoring and analyzing conversational bots to come up with useful insights.

Responsibilities

·         Tagging and annotating conversation data to provide useful information for the machine learning team using internal tools.

·         Provide feedback for improvements to existing tooling that can increase tagging throughput and quality.

·         Monitoring and analysing the performance of the conversational bots and providing actionable insights.

Requirements & Qualifications

·         Bachelors’s degree in any field.

·         Fluency in English and Hindi. Being proficient in multiple languages is a plus.

·         Excellent communication, strong organizational and analytical skills with an eye for details.

·         Inquisitive nature to know more about Natural Language Processing and conversational artificial intelligence would be encouraged.

Bachelors’s degree in any field

Vernacular.ai builds an AI-driven platform focused on voice automation, enabling businesses to enhance their customer interactions through advanced audio technology. It serves enterprises looking to streamline call center operations and improve customer engagement. What sets Vernacular.ai apart is its commitment to making voice AI accessible and scalable for diverse industries.

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