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Geospatial Ai Jobs in Florida (NOW HIRING)

Worth AI

Data Platform Engineer

Orlando, FL · On-site

$106K - $128K/yr

Worth AI, a leader in the computer software industry, is looking for a talented and experienced ... Geospatial Data: Experience handling global address normalization and geospatial indexing for risk ...

Worth AI

Data Platform Engineer

Orlando, FL · On-site +1

$106K - $128K/yr

Worth AI, a leader in the computer software industry, is looking for a talented and experienced ... Geospatial Data: Experience handling global address normalization and geospatial indexing for risk ...

Delan Associates, Inc

Sr. Data Scientist

Juno Beach, FL · On-site

... geospatial solutions; developing and overseeing spatial data pipelines, APIs, and automation workflows; and integrating GIS capabilities with cloud platforms, enterprise data systems, and AI services.

Worth AI

Data Platform Engineer

Orlando, FL · On-site

$106K - $128K/yr

Worth AI, a leader in the computer software industry, is looking for a talented and experienced ... Geospatial Data: Experience handling global address normalization and geospatial indexing for risk ...

Delan Associates, Inc

Sr. Data Scientist

Juno Beach, FL · On-site

$120 - $160/hr

... geospatial solutions; developing and overseeing spatial data pipelines, APIs, and automation workflows; and integrating GIS capabilities with cloud platforms, enterprise data systems, and AI services.

Delan Associates, Inc

Sr. Data Scientist

Juno Beach, FL · On-site

... geospatial solutions; developing and overseeing spatial data pipelines, APIs, and automation workflows; and integrating GIS capabilities with cloud platforms, enterprise data systems, and AI services.

AI Chopping Block

Data Platform Engineer

Orlando, FL · On-site

$140 - $180/hr

Worth AI, a leader in the computer software industry, is looking for a talented and experienced ... Geospatial Data: Experience handling global address normalization and geospatial indexing for risk ...

Welo Data

English AI Maps Trainer

Jacksonville, FL · Remote

$20.30/hr

What if your knowledge English language could help improve the AI.     WHAT YOU'LL DO   ... Assess user-focused elements like viewport framing, geospatial accuracy, and content relevance.

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Showing results 21-40

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Geospatial Ai information

How do geospatial AI professionals typically collaborate with other teams to deliver actionable insights?

Geospatial AI professionals often work closely with data scientists, GIS analysts, software engineers, and domain experts to develop, validate, and deploy spatial models. Collaboration usually involves integrating spatial data with machine learning algorithms, ensuring data quality, and tailoring outputs to meet the needs of end users such as urban planners or environmental scientists. Regular meetings, shared project management tools, and cross-functional workshops are common, fostering a collaborative environment that accelerates problem-solving and innovation.

What are the key skills and qualifications needed to thrive as a geospatial AI specialist, and why are they important?

To thrive as a Geospatial AI Specialist, you need a strong background in geospatial analysis, machine learning, and programming (often with Python or R), typically supported by a degree in geography, computer science, or a related field. Familiarity with GIS platforms (such as ArcGIS or QGIS), remote sensing software, and AI/ML frameworks like TensorFlow or PyTorch is essential. Critical thinking, problem-solving, and effective communication are vital soft skills for interpreting complex data and collaborating with multidisciplinary teams. These competencies are crucial to develop innovative geospatial solutions that drive decision-making across sectors like urban planning, environmental monitoring, and logistics.

What is the difference between Geospatial Ai vs GIS Analyst?

AspectGeospatial AiGIS Analyst
Required CredentialsDegree in GIS, Computer Science, or related; experience with AI/ML toolsDegree in Geography, GIS, or related; proficiency in GIS software
Work EnvironmentTech-focused, data science teams, field data collectionOffice-based, mapping, spatial data analysis
Industry UsageTech companies, AI-driven mapping, autonomous systemsGovernment, urban planning, environmental management
Search & Comparison IntentFocus on AI applications in geospatial dataFocus on traditional spatial data analysis

Geospatial Ai combines artificial intelligence techniques with geospatial data analysis, often involving machine learning and data modeling. GIS Analysts primarily focus on mapping, spatial data management, and traditional geographic information systems. While both roles work with spatial data, Geospatial Ai emphasizes AI-driven insights, whereas GIS Analysts concentrate on spatial data visualization and analysis using GIS software.

What are popular job titles related to Geospatial Ai jobs in Florida?

For Geospatial Ai jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Geospatial Ai jobs in Florida look for?

The top searched job categories for Geospatial Ai jobs in Florida are:

What cities in Florida are hiring for Geospatial Ai jobs?

Cities in Florida with the most Geospatial Ai job openings:

Geospatial Ai jobs near you
Infographic showing various Geospatial Ai job openings in Florida as of August 2026, with employment types broken down into 81% Full Time, 16% Part Time, and 3% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution.

Sophomore Data Scientist Geospatial/Geospatial Machine Learning Scientist

VDart, Inc.

Juno Beach, FL • On-site

Other

Posted 17 days ago

Job description

The Sophomore Data Scientist Geospatial supports the design, development, and delivery of analytical and modeling solutions using geospatial data. This role works closely with senior data scientists, GIS teams, engineers, and business stakeholders to analyze complex datasets, develop spatial analytics solutions, and translate geospatial information into actionable business insights.

The position provides hands-on opportunities to develop scalable GIS tools, analytical applications, spatial data products, and reusable geoprocessing capabilities while gaining experience with enterprise geospatial platforms, cloud technologies, and AI/ML services.

Key Responsibilities
  • Support end-to-end data science and geospatial analytics projects, including data preparation, exploration, feature engineering, modeling, testing, and documentation.
  • Develop analytical and machine learning solutions using structured, unstructured, and geospatial datasets.
  • Build and maintain spatial data pipelines, APIs, automation workflows, and geoprocessing tools.
  • Develop reusable GIS tools, analytical applications, and spatial data products to support business and operational requirements.
  • Perform spatial analysis, data visualization, statistical analysis, and predictive modeling.
  • Develop production-ready Python-based analytical workflows and applications under the guidance of senior technical staff.
  • Assist with integrating GIS capabilities with cloud platforms, enterprise data systems, APIs, and AI/ML services.
  • Support the development and optimization of spatial data processing and analytical workflows.
  • Participate in model validation, testing, monitoring, and performance optimization.
  • Collaborate with GIS professionals, data engineers, software engineers, and business stakeholders.
  • Document analytical methodologies, technical solutions, workflows, and results.
  • Communicate analytical findings and recommendations to both technical and non-technical stakeholders.
  • Learn and apply enterprise development standards, geospatial best practices, and modern data science methodologies.
Required Qualifications
  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Geography, GIS, Engineering, or a related quantitative field; advanced degree preferred.
  • 2 4 years of professional experience in data science, analytics, machine learning, GIS, or a related field.
  • Experience applying data science techniques to GIS or geospatial problems preferred, particularly within the last 4 years.
  • Strong proficiency in Python and experience developing analytical or data processing workflows.
  • Working knowledge of SQL and experience working with large or complex datasets.
  • Understanding of statistical analysis, machine learning, predictive modeling, and data visualization.
  • Hands-on experience with geospatial data, spatial analytics, or GIS technologies.
  • Ability to develop analytical tools, applications, scripts, and automated workflows.
  • Strong problem-solving, analytical, communication, and collaboration skills.
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About V Dart

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Industry

Software development, internet and it and professional, scientific, and technical services

Company size

1,001 - 5,000 Employees

Headquarters location

Alpharetta, GA, US

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