QC Analyst - Bengali

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Noida, Gautam Buddha Nagar, Uttar Pradesh, IND
In-Office
Entry level
Artificial Intelligence • Enterprise Web
The Role
Performs automated and business quality-control tasks, validates vernacular script translations, evaluates speech analytics accuracy, creates UAT and flow-based test cases, and trains AI systems to improve bot call performance. The role requires English and Bengali proficiency, strong communication and analytical skills, and the ability to solve problems and support ongoing projects.
Summary Generated by Built In
Responsibilities:
  • Auto QC: Ensure daily automated QC tasks are completed with high precision to maintain data quality and operational efficiency.
  • Business QC: Deliver high-quality, requirement-based QC ensuring business expectations are consistently met.
  • Vernacular Script Translation: Ensure accurate and timely translation of scripts across multiple vernacular languages to support project delivery and quality.
  • Speech Analytics QC: Ensure Quality of delivery and Improve speech analytics accuracy per the business requirement.
  • UAT & Flow based testing: Strengthen Testing Quality Through Robust Test Case Creation
  • AI Training: Enhance BOT call performance through targeted AI training and continuous learning


Requirements
  • Qualification: Computer Science or related field.
  • Language Skills: English and Bengali (Hindi knowledge would be an added advantage).
  • Good communication, analytical, and problem‑solving abilities.
  • Willingness to learn and contribute to ongoing projects.


Skills Required

  • Bachelor’s degree or qualification in Computer Science or a related field
  • Fluency in English and Bengali
  • Good communication skills
  • Analytical and problem-solving abilities
  • Willingness to learn and contribute to ongoing projects
  • Hindi language knowledge

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The Company
Noida, Uttar Pradesh
147 Employees
Year Founded: 2018

What We Do

Rezo.ai is an AI-Powered Contact Center that enables enterprises to enhance customer experience and boost revenue by automating and analyzing customer agent interactions across multiple channels including voice, email, chat/Whatsapp and social, at the required scale, whilst training agents with minimal costs.

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