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Quality Check Executive (Freelancing)

Min Experience

0 years

Location

remote

JobType

part-time

About the job

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About the role

Location: Remote Type: Part-time (Freelancing) About the Project Project Vaani, an initiative by IISc and ARTPARK Bangalore, funded by Google, is one of India's largest Indian language data collection projects. Our mission is to ensure that all Indian languages are represented in the digital world. By curating high-quality data, we aim to build inclusive AI systems that can understand and communicate effectively in regional languages. About the Role As a quality check executive, you will play a critical role in ensuring the quality of speech and text datasets used for AI development. Your feedback will help create accurate and reliable AI models that understand and respect the nuances of local languages. Key Responsibilities Review audio recordings or text transcripts in your local language. Identify and flag errors such as incorrect transcription, incomplete data or noisy audios etc., Requirements Basic education: 10th-12th pass or higher. Proficiency in understanding, reading, or writing your local language. Access to a reliable internet connection and a smartphone or laptop. Why Join Us? Contribute to Your Language's Digital Growth: Help ensure your native language is well-represented in the AI-driven future. Work Flexibly: Enjoy the convenience of remote, part-time work with tasks that can be completed at your own pace. Be Part of a National Initiative: Join one of the largest language data curation efforts in India and make a lasting impact.

About the company

ARTPARK at IISc drives impact through innovations in AI & Robotics, by harnessing the best of research/academia, startups/industry, and government/nonprofits. Our pioneering platform initiatives in language data & AI and health data & AI are driving national-scale impact with stakeholders such as MeitY's Bhashini, Office of PSA, ICMR, States and Cities. These platforms are in pursuit of our vision – AI for All.

Skills

language
quality check