Job ID: 298378

RFP - Audio Quality Annotation of Student Voice Recordings

Lords Education and Health Society (LEHS)

Location: India

Apply by: 17 Jul 2026

Relevant Sectors

Communications, IT, Media, Knowledge Management, Editor

Infrastructure, Technology, Engineering, Science

REQUEST FOR PROPOSAL (RFP)             
Audio Quality Annotation of Student Voice Recordings
 
Closing Date for Submission
<July 17, 2026>
I.
INTRODUCTION
 
 
 
LEHS is a charitable organization in India whose purpose is to offer basic health and education for the poor. LEHS in furtherance of charitable objectives through its flagship programs, Wadhwani AI, which aims to build equitable and sustainable systems by making quality primary healthcare available and accessible to the underserved population, and to bring the benefits of modern AI technology to underserved populations by building and deploying AI solutions for social impact across domains such as healthcare, agriculture, governance, and education in India. LEHS aims to promote the integration of technologies, particularly in emerging domains like artificial intelligence and innovations into the Indian mainstream primary healthcare, education, and agriculture systems through a partnership with the State and National Government, apex institutions, international agencies, and private sector partners e.g. innovators, social enterprises and other ecosystem contributors in line with its stated objectives for the betterment of society particularly focusing on projects of national and social significance.
 
Wadhwani AI, a unit of LEHS, focuses on developing, deploying, and evaluating artificial intelligence solutions to address critical social challenges in India, particularly in domains such as healthcare, agriculture, and education.
 
LEHS aims to promote the integration of technologies, particularly in emerging domains like artificial intelligence and innovations into the Indian mainstream primary healthcare, education, and agriculture systems through a partnership with the State and National Government, apex institutions, international agencies, and private sector partners e.g. innovators, social enterprises and other ecosystem contributors in line with its stated objectives for the betterment of society particularly focusing on projects of national and social significance. In line with its mission to support projects of national and social significance, LEHS also undertakes rigorous monitoring, evaluation, and learning (MEL) activities to assess the impact, usability, and scalability of different programmatic interventions.
 
II.
BACKGROUND
 
 
 
A significant number of students in Indian public schools (Grades 1–8) lack foundational reading skills, impacting their academic progression across all subjects. This challenge is compounded by the absence of scalable, data-driven tools for assessing reading in diverse languages and for identifying specific proficiency levels to enable targeted interventions.
 
In response, Wadhwani AI has developed an AI-powered tool that automates the assessment of foundational reading skills. The tool leverages highly contextualized and fine-tuned Automated Speech Recognition (ASR) models to analyze word and paragraph reading, generating key performance metrics and identifying specific reading miscues. Our solution also applies an intelligent layer to cohort students into reading levels, providing teachers with actionable insights for planning targeted classroom interventions.
 
To date, Wadhwani AI has assessed over 7 million students in Gujarat and Rajasthan for the Gujarati and Hindi languages. When the assessments are done in a classroom environment, there are many issues with the quality of the audios that teachers use for assessment. We want to improve our mechanism to detect issues with audio quality, and flag those issues to teachers so they can get the warnings for assessments.
 
III.
PROJECT OBJECTIVES
 
 
 
This RFP is issued to solicit bids from experienced data annotation agencies to create highquality, human-annotated data, where five specific audio quality metrics are scored by independent annotators. This RFP is therefore focused on securing services for the highquality annotation of audio samples (segmented into 8-second clips) according to the detailed guidelines provided in this document, particularly adhering to the principles of ITU-T Recommendation P.808.
 
IV.
SCOPE OF WORK
 
 
 
Summary of Activities
S.No
Activity Description
Timeline
1
Co-Working & Onboarding Phase

3rd/4th week of August 2026
2
Data Annotation for ASR: Create Audio Quality marked data following Wadhwani AI's data annotation protocol.

September, October 2026
 
 


  • All proposals to this RFP must be received no later than <July 17th>. The proposal should be submitted only through e-mail in PDF format addressed to The Procurement Team at the below-given e-mail id:rfp.lehs@wadhwaniai.org. The email's subject line must contain the reference number and title of the RFP: Audio Quality Annotation of Student Voice Recordings
  • Any proposals received by Wadhwani-AI after the deadline for submission of proposals prescribed in the timeline of this document are liable to be rejected. 

 

For detailed information, please check the complete version of the RFP attached below

Job Email ID:

rfp.lehs(at)wadhwaniai.org

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