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Geospatial Ai Jobs in Indiana (NOW HIRING)

... AI-driven Feature Extraction, you will bridge the gap between massive reality capture datasets and actionable intelligence. Join a visionary team at Trimble where your expertise in geospatial ...

$143K/yr

... AI, IoT, and positioning technology? Trimble is looking for a passionate problem-solver like you to define the vision for our core geospatial monitoring business. You will lead global strategies to ...

By integrating geospatial data, engineering requirements, and construction logistics, the Survey ... Recommend and integrate new tools (e.g., automated pole-mount detection, AI-enhanced utility clash ...

By integrating geospatial data, engineering requirements, and construction logistics, the Survey ... Recommend and integrate new tools (e.g., automated pole-mount detection, AI-enhanced utility clash ...

Geospatial Ai information

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 is Geospatial AI?

Geospatial AI refers to the integration of artificial intelligence techniques with geospatial data, such as maps, satellite imagery, and location-based information. Professionals in this field use machine learning and deep learning algorithms to analyze spatial data, uncover patterns, and make predictions related to geography, urban planning, agriculture, and more. Geospatial AI is widely used for applications like disaster response, environmental monitoring, smart cities, and autonomous vehicles. It requires expertise in both AI methodologies and geographic information systems (GIS).

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 job categories do people searching Geospatial Ai jobs in Indiana look for? The top searched job categories for Geospatial Ai jobs in Indiana are:
What cities in Indiana are hiring for Geospatial Ai jobs? Cities in Indiana with the most Geospatial Ai job openings:
Infographic showing various Geospatial Ai job openings in Indiana as of June 2026, with employment types broken down into 72% Full Time, 24% Part Time, and 4% Contract. Highlights an 65% Physical, 5% Hybrid, and 30% Remote job distribution.

Environmental Research - Graduates - AI Training - Indianapolis, US

Prolific Academic Ltd

Indianapolis, IN โ€ข On-site, Remote

$45 - $90/hr

Full-time

Posted 14 days ago


Job description

Environmental Research & Sustainability - AI TrainingAbout Prolific

Prolific is not just another player in the AI space โ€“ we are building the biggest pool of quality human data in the world.

Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.

The role

We're looking for Environmental Researchers and Sustainability Experts to join our Expert Network to help train and evaluate cutting-edge AI models using real-world ecological and climate expertise. If you have the necessary experience, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to train and evaluate powerful AI models.

Researchers looking for your skills typically pay up to $45โ€“$90 per hour. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter.

What you'll bring
  • Education: a BS, MS, or PhD in Environmental Science, Ecology, Climate Science, Environmental Engineering, or a related field.
  • Professional Experience: experience in environmental impact assessment (EIA), climate modeling, conservation research, or corporate sustainability reporting (ESG).
  • Domain Knowledge: deep understanding of carbon accounting, biodiversity metrics, renewable energy systems, or environmental policy.
  • Analytical Precision: the ability to identify errors in climate data interpretations, carbon footprint calculations, or ecological taxonomies.
  • Geospatial & Statistical Literacy: proficiency in interpreting GIS data, satellite imagery, and longitudinal environmental datasets.
  • Communication: ability to synthesize complex environmental regulations or scientific findings into clear, actionable, and technically accurate summaries.
  • A PayPal account to receive payment from our clients

What you'll be doing in the role

  • Evaluate AI-Generated Research: review model responses to queries about climate change, ecosystem services, and resource management for scientific accuracy and nuance.
  • Fact-Check Environmental Claims: validate AI-generated data regarding emissions factors, legislative requirements, and environmental protection standards.
  • Assess Sustainability Logic: Critique AI-proposed solutions for waste reduction, supply chain sustainability, and habitat restoration for practical and scientific feasibility.
  • Annotate Geospatial & Technical Data: identify and correct errors in model-generated maps, environmental risk assessments, and species distribution models.
  • Ensure Policy Alignment: verify that AI responses align with the latest international environmental standards and scientific consensus (e.g., IPCC reports).
Why Prolific is a great platform to join as a Participant

Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using your professional expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.

We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.

We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation โ€“ one that reflects the breadth and the best of humanity.

Links to more information on Prolific

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Privacy Statement

By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.