Skitai Hiring for Data Annotator (Tamil) – Freshers at Bangalore Full Time

About us
Skit.ai is an industry-leading voice automation SaaS company. Its Augmented Voice Intelligence Platform enables enterprises to automate call center operations at scale. Skit.ai has automated millions of calls for global enterprises across an array of industries, shifting the traditional contact center experience from automated responses to meaningful conversations. The voice AI leader has also been listed in Forbes 30 Under 30 Asia start-ups 2021 for its remarkable industry innovation and was awarded ‘Tech Startup of the Year’ in Artificial Intelligence 2021 by Entrepreneur India, further underscoring its market dominance and unparalleled expertise.

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.
• Freshers preferred.
• Fluency in English and Tamil (Written & Verbal). 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.

• What information we collect during our application and recruitment process and why we collect it;
• How we use that information; and
• How to access and update that information.

• Your name, address, email address, telephone number and other contact information;
• Your resume or CV, cover letter, previous and/or relevant work experience or other experience, education, transcripts, or other information you provide to us in support of an application and/or the application and recruitment process;
• 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;
• Details of how you heard about the position you are applying for;
• Reference information and/or information received from background checks (where applicable), including information provided by third parties;
• Information about your educational and professional background from publicly available sources, including online, that we believe is relevant to your application or a potential future application (e.g. your LinkedIn profile); and/or
• Information related to any assessment you may take as part of the interview screening process.

• 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;
• Communications with you about the recruitment process and/or your application(s), including, in appropriate cases, informing you of other potential career opportunities at Skit;
• Creating and/or submitting reports as required under any local laws and/or regulations, where applicable;
• Making improvements to Skit’s application and/or recruitment process including improving diversity in recruitment practices;
• 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.