SUMMARYWe are seeking a meticulous and knowledgeable Consultant to join our team. The Consultant will be responsible for gathering, synthesizing, and presenting agricultural data from various sources, ensuring accuracy and relevance. The role involves creating actionable content tailored to specific crops and agricultural practices, and formatting it for dissemination through different channels. Additionally, the Consultant will develop comprehensive question-answer sets and validate them against source materials to ensure accuracy and usability.Location - DelhiABOUT US -Wadhwani AI is a nonprofit institute building and deploying applied AI solutions to solve critical issues in public health, agriculture, education, and urban development in underserved communities in the global south. We collaborate with governments, social sector organizations, academic and research institutions, and domain experts to identify real-world problems, and develop practical AI solutions to tackle these issues with the aim of making a substantial positive impact.We have over 30+ AI projects supported by leading philanthropies such as Bill & Melinda Gates Foundation, USAID and Google.org. With a team of over 200 professionals, our expertise encompasses AI/ML research and innovation, software engineering, domain knowledge, design and user research.In the Press:SoleCultures page of Wadhwani AI -ROLES AND RESPONSIBILITIESGather and review data from diverse sources including research papers, field studies, and expert consultations.Synthesize information into clear, actionable content tailored to specific crops and agricultural practices.Ensure that content covers critical aspects such as planting, crop management, pest control, and harvesting.Format content in a user-friendly manner suitable for dissemination through manuals, apps, websites, etc.Review and extract relevant information from content.Formulate clear, concise questions covering all essential aspects of the material.Provide precise answers that directly address the questions.Ensure questions vary in format, including multiple choice, short answer, descriptive, and yes/no types.Validate accuracy of question-answer pairs through cross-referencing with source material.Compare model predictions or outputs with actual observed data (ground truth).Identify discrepancies and analyze causes of inaccuracies.Document findings and provide feedback to improve model accuracy.REQUIREMENTSMaster\'s degree in Agriculture, Agronomy, or related fieldProven experience in agricultural research, data analysis, and content creation.Strong knowledge of agricultural practices, crop management, and pest control.Excellent written and verbal communication skills.Proficiency in data synthesis and formatting for various platforms.Ability to work independently and collaborate effectively in a team environment.Attention to detail and commitment to accuracy.Experience with validation techniques and quality assurance processes.We are committed to promoting diversity and the principle of equal employment opportunity for all our employees and encourage qualified candidates to apply irrespective of religion or belief, ethnic or social background, gender, gender identity, and disability. If you have any questions, please email us at .
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