AI Grant Strategist

6 days ago

india beBeeArtificial Full time

AI Grant SpecialistThe AI Grant Evaluation & Research Specialist plays a critical role in advancing initiatives to improve grant-writing success through AI-assisted scoring, analysis, and content generation.This role is responsible for refining scoring systems, developing and validating evaluative rubrics, analyzing funded vs. unfunded grant trends, and collaborating with subject matter experts to evolve an enterprise-ready AI solution for grant evaluation and writing support.The position requires strong machine learning (ML) and deep learning (DL) expertise to support the development, evaluation, and optimization of AI-driven scoring and writing models.Grant Scoring System Development & Enhancement:Refine and optimize scoring rubrics used to evaluate grant executive summaries.Evaluate system outputs to ensure accuracy, precision, and meaningful differentiation among high-quality grants.Conduct comparative analysis between supported and unsupported grants to identify factors influencing funding outcomes.Ai Model Collaboration, ML/DL Integration & Prompt Engineering:Collaborate on the development, evaluation, and refinement of custom GPT-based and other LLM models.Apply ML and DL techniques to improve model reliability, pattern recognition, and scoring logic.Develop, test, and optimize prompts and model configurations for improved output quality.Integrate subject-matter insights and domain-specific datasets into model improvements.Research, Data Analysis & Model Evaluation:Analyze large datasets of historical grants using ML and DL methods to identify trends and differentiators.Perform model performance evaluation (accuracy, precision, recall, and error analysis).Support creation and refinement of conceptual AI workflows and pipelines for production-ready systems.Cross-Functional Collaboration:Partner with grant writers, educational strategists, engineers, and AI technologists.Lead iterative testing cycles and feedback loops with SMEs.Collaborate with engineering teams on dataset expansion, model versioning, and training processes.Future Development & System Expansion:Contribute to next-phase development of automated grant writing capabilities.Support identification and integration of new data sources, such as RFPs, funded/unfunded grant libraries, and structured text datasets.Assist in planning ML pipeline development environments such as Databricks or similar.

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