QA Consultant (Hindi /Bengali/Marathi)

gnani.ai; Bengaluru; Vor Ort; INR 450.000 - 750.000; Vollzeit

Zusammenfassung

gnani.ai in Bengaluru is seeking a QA specialist to test our AI-powered voice bots and virtual assistants before deployment. You will work with pre-sales, product, and engineering teams to identify and resolve issues, ensuring an optimal user experience.

The role focuses on end-to-end testing, language understanding, speech quality, and handling edge cases like accents or slang, translating content from English to regional languages as needed.

Qualifikationen

• 1–4 years of QA/testing experience, preferably with voicebots or AI-driven applications.
• Process-oriented with keen eye for detail.
• Strong regional language proficiency for linguistic testing.
• Understanding of voicebot frameworks and NLP concepts preferred.
• Hands-on experience writing test cases and testing methodologies.
• Analytical mindset with attention to detail.
• Ability to work with cross-functional teams and report bugs clearly.

Aufgaben

• Conduct end-to-end testing of Gen AI voice bots across scenarios to ensure accurate responses.
• Identify areas for improvement; document and report bugs or inconsistencies.
• Validate voice bot performance, language understanding, and user experience across use cases.
• Voice Quality Testing: assess clarity, tone, naturalness of synthesized speech.
• Test edge cases like accents or slang to ensure proper handling.
• Collaborate with development to simulate real-world customer interactions.
• Translate content from English to regional languages with context understanding.

Kenntnisse

QA testing

Voicebot testing

Regional language

NLP concepts

Test case writing

Analytical mindset

Collaboration

Bug tracking tools

Tools

Jira

Trello

Jobbeschreibung

We are a fast-growing conversational AI company focused on building intelligent AI agents that transform customer interactions. Our team is passionate about creating innovative AI-driven solutions, and we are looking for a QA specialist to ensure the quality and performance of our voicebot solutions before they reach potential clients.

Role Overview

As a QA specialist, you will be responsible for testing our AI-powered voice bots and virtual assistants to ensure they function seamlessly before deployment. You will work closely with the pre-sales, product, and engineering teams to identify and resolve issues, ensuring an optimal user experience.

Key Responsibilities

• Conduct end-to-end testing of Gen AI voice bots across various scenarios to ensure the model responds accurately to a wide variety of voice inputs
• Identify areas where the bot’s conversational abilities can be improved; document and report bugs or inconsistencies in voice bot responses or workflows
• Validate voice bot performance, language understanding, and user experience across various used cases and environments
• Voice Quality Testing: Assess the clarity, tone, and naturalness of the voicebot’s synthesised speech. Ensure the voice bot sounds natural and validate any voice-related anomalies or bugs
• Identify and test edge cases such as unexpected inputs, unclear commands, or non-standard speech patterns (e.g., accents or slang) to ensure they are handled appropriately
• Collaborate with the development team to simulate real-world customer interactions.
• Translate content from English to Regional languages by understanding the context of the message

Required Skills & Qualifications

• 1-4 years of experience in QA/testing, preferably with call centres or voicebots or AI-driven applications.
• Should be process-oriented and have an eye for detail
• Strong command of regional language for linguistic and functional testing.
• Understanding of voicebot frameworks and LLM & NLP (Natural Language Processing) concepts is preferred.
• Hands-on experience with writing test cases and experience with testing methodologies
• Analytical mindset with keen attention to detail
• Strong problem-solving skills and the ability to think from a user’s perspective
• Ability to work collaboratively with cross-functional teams.
• Familiarity with bug tracking tools like Jira, Trello, or equivalent (optional but preferred).