Responsibilities:
– Develop a tool that automates data extraction from publicly available web sources such as Zillow.com, obituaries, and skip tracing sites.
– Implement NLP and AI algorithms to interpret and analyze web content.
– Design a system to identify key relationships and prioritize relevant relatives based on information obtained from obituaries.
– Ensure the system can effectively determine which relatives are most likely to be decision-makers in estate property matters.
– Integrate the system with existing databases and APIs for seamless data flow.
– Conduct extensive testing for both functionality and accuracy of the AI components.
Requirements:
– Strong experience in web scraping and data extraction.
– Proficient in programming languages suited for NLP and AI, such as Python
– Experience in developing NLP models for text analysis, specifically in processing unstructured data like obituaries.
– Ability to implement machine learning algorithms to enhance data decision-making processes.
– Familiarity with real estate data and sensitivity to ethical considerations in personal data handling.
– Excellent problem-solving skills and attention to detail.
– Strong communication skills for effective collaboration and understanding of project requirements.
Application:
Interested candidates should submit a proposal detailing their approach to the project, including a timeline, budget, and any relevant experience with similar NLP and AI projects. Please include examples of past work that demonstrate your proficiency in these areas
Hourly Range: $20.00-$40.00
Posted On: January 29, 2024 21:25 UTC
Category: Scripting & Automation
Skills:Data Extraction, API Integration, Beautiful Soup, Web Scraping, Data Processing, Python, LangChain, Natural Language Processing, Quality Assurance
Country: United States
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