Data Annotator
7 days ago
**About us**
Skit (previously known as Vernacular.ai) is an AI-first SaaS voice automation company. Its suite of speech and language solutions enable enterprises to automate their contact centre operations. With over 10 million hours of training data, its product - Vernacular Intelligent Voice Assistant (VIVA) can currently respond in 16+ languages, covering over 160+ dialects and replicating human-like conversations.
Skit currently serves a variety of enterprise clients across diverse sectors such as BFSI, F&B, Hospitality, Consumer Electronics and Travel & Tourism, including prominent clients like Axis Bank, Hathway, Porter and Barbeque Nation. It has been featured as one of the top-notch start-ups in the Cisco Launchpad’s Cohort 6 and is a part of the World Economic Forum’s Global Innovators Community. It has has also been listed in Forbes 30 Under 30 Asia start-ups 2021 for its remarkable industry innovation.
**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 Gujrati. 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.
This policy explains:
- How we use that information; and
- How to access and update that information.
Types of information we collect
- Information from interviews and phone-screenings you may have, if any;
- Details of the type of employment you are or may be looking for, current and/or desired salary and other terms relating to compensation and benefits packages, willingness to relocate, or other job preferences;
- Reference information and/or information received from background checks (where applicable), including information provided by third parties;
- Information related to any assessment you may take as part of the interview screening process.
How we use information we collect
- Assessing your skills, qualifications and interests against our career opportunities;
- Verifying your information and carrying out reference checks and/or conducting background checks (where applicable) if you are offered a job;
- Creating and/or submitting reports as required under any local laws and/or regulations, where applicable;
- Proactively conducting research about your educational and professional background and skills and contacting you if we think you would be suitable for a role with us.
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