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Geoai Jobs in Indiana (NOW HIRING)

... GeoAI (or ability to learn the skill)Provide geostatistical analysis, measurements or reports related to communicable disease surveillance, outbreaks, disasters and public health preparedness ...

Geoai information

What is GeoAI?

GeoAI, or Geographic Artificial Intelligence, refers to the integration of artificial intelligence (AI) techniques with geographic information systems (GIS) and spatial data. GeoAI leverages machine learning, deep learning, and other AI methods to analyze and interpret geospatial data, such as satellite imagery, maps, and sensor data. This technology is used in a variety of fields including urban planning, environmental monitoring, disaster response, and transportation. By automating the analysis of large and complex spatial datasets, GeoAI helps organizations make more informed decisions and discover patterns that would be difficult to detect manually.

What are the key skills and qualifications needed to thrive as a GeoAI specialist?

To thrive as a GeoAI Specialist, you typically need a background in geospatial science, data analysis, and machine learning, often supported by a degree in GIS, computer science, or a related field. Familiarity with tools such as Python, ArcGIS, QGIS, and machine learning libraries like TensorFlow or PyTorch is essential, along with experience using spatial databases. Strong problem-solving skills, adaptability, and effective communication set standout professionals apart in this field. These abilities are crucial for leveraging AI to extract actionable insights from geospatial data, enabling data-driven decision-making and innovation.

How do GeoAI professionals typically collaborate with domain experts like urban planners or environmental scientists?

GeoAI professionals regularly work alongside domain experts such as urban planners, environmental scientists, and policy analysts to ensure that spatial data analyses and AI-driven insights are relevant and actionable. Collaboration often involves joint project meetings, data sharing, and iterative feedback loops to refine models and interpret results in the context of real-world applications. This interdisciplinary teamwork helps translate complex geospatial data into practical solutions for urban development, resource management, and disaster response. Effective communication and a willingness to learn from other fields are key to success in these collaborative environments.
What are popular job titles related to Geoai jobs in Indiana? For Geoai jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Geoai jobs in Indiana look for? The top searched job categories for Geoai jobs in Indiana are:
Infographic showing various Geoai job openings in Indiana as of August 2026, with employment types broken down into 100% Contract. Highlights an 50% In-person, and 50% Remote job distribution.

GIS Coordinator Remote (Ohio and Indiana only)

Conflux Systems

Indianapolis, IN • On-site

$37/hr

Contractor

Re-posted 13 days ago


Job description

Title: GIS Coordinator
Location: Indianapolis, IN 
Pay Rate: $37/H W2 (No Benefits)
Interview Type: Webcam and Inperson 
Work mode: Remote
Client: IDOH
 
Skills
Knowledge of geospatial concepts
Knowledge of appropriate cartographic designs and solutions
Work in ESRI ArcGIS Desktop software
Work in ESRI ArcGIS Software as a Service platform and configurable applications
Work with Python, ArcGIS API for Python, ArcPy, and other data science packages including web automation and scraping capabilities
Work with JavaScript and ArcGIS JavaScript API
Knowledge of SQL within Oracle and SQL Server platforms
Managerial/supervisory experience within a health-related field, data/technology-related field, or in another comparable field
Ability to engage with stakeholders and partners at the GIO, other agencies, state/local health departments, private sector, etc.
Project management skills (communication, organization, metric tracking)
Experience with data governance best practices (GIS-specific data governance)
Experience with GeoAI
 
Note: Resource will be required to attend local events as well as national conference in San Diego. Expenses/travel will be reimbursable.