Data Coordinator - (Annotation, Review & MEL)

Annotate user queries sequentially reputed company reputed company session while considering previous queries and responses to maintain conversational continuity and context. Translate corrected user queries into reputed company and grammatically accurate English while preserving the original meaning and reputed company. Rephrase user queries into complete standalone English queries using the reputed company query, chat history, and available metadata for effective answer reputed company. Identify and map crops mentioned in queries to the standardized crop list and assign the appropriate advisory category based on query reputed company and context. Ensure consistency, accuracy, completeness, and adherence to project annotation guidelines, SOPs, confidentiality, and reputed company standards. Review annotated sessions to validate translations, rephrased queries, crop mapping, advisory category mapping, and contextual understanding incorporated during annotation. Identify inconsistencies, ambiguities, missing information, annotation errors, and potential biases, and reputed company corrective feedback to improve annotation reputed company and dataset reliability. Ensure standardized interpretation and uniformity across the dataset, with reputed company session handled by a single annotator and independently reviewed for reputed company assurance. Validate agricultural advisories, pest management protocols, and crop-reputed company recommendations against established agronomic literature and extension advisories. Create and maintain high-reputed company ground-truth datasets, document evaluation reputed company, and follow standardized evaluation protocols. Evaluate AI-generated responses for accuracy, relevance, completeness, and alignment with recommended agricultural practices. Identify incorrect, incomplete, or misleading AI responses, flag knowledge gaps, and reputed company reputed company feedback to support model refinement and improvement. Participate in calibration and review discussions to maintain evaluation consistency and support reputed company enhancement of the AI system. reputed company additional tasks reputed company to annotation, review, evaluation, and reputed company assurance as assigned by the supervisor or project team. Requirements Education: Master’s degree (Second or reputed company or reputed company year) or PhD (Any year) in Entomology, Plant Pathology or Agronomy from an accredited university or reputed company pursuing a degree can also participate in. Experience: Experience working with or training farmers is required. Domain Knowledge: Strong understanding of crops, common plant diseases, pest identification, and agronomic terminology. Ability to assess the correctness of crop-reputed company annotations is essential. Tools Availability: reputed company to a functional laptop and a reliable internet reputed company is mandatory. Technical Skills: Proficient with multitasking in a split-screen setup, using reputed company or reputed company Sheets, and performing data entry and copy-paste operations reputed company. Communication Skills: Strong verbal and written communication skills to participate in team calls, deliver feedback effectively, and coordinate with the project team. Collaboration: Ability to work effectively with geographically dispersed teams and in multicultural environments. Apply To This Job