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Environmental Artificial Intelligence Jobs (NOW HIRING)

NorthWest Arkansas Community College

Foster a collaborative and inclusive classroom environment that encourages curiosity, innovation ... Demonstrated knowledge or experience with artificial intelligence concepts and tools (e.g., machine ...

CreditOne

AVP, Artificial Intelligence

Las Vegas, NV · On-site

Description Position Summary The Assistant Vice President of Artificial Intelligence (AVP of AI) is ... environment. Reporting to the VP of AI, this role acts as a hands-on technical leader and people ...

Amrize

Director of Artificial Intelligence

Portland, OR

$170K - $220K/yr

Our focus is creating longer-lasting, environmentally responsible roofing solutions that can withstand all weather conditions. Job Title: Director of Artificial Intelligence | Req ID: 16010 | HR ...

L3HHCM20

Artificial Intelligence Specialist

Rochester, NY · On-site +1

$109K - $203K/yr

Artificial Intelligence Specialist Job Code: 38585 Job Location: Palm Bay, FL OR Fort Wayne, IN OR ... environments. This is an ideal opportunity for an engineer pursuing AI/ML application engineering ...

L3HHCM20

Artificial Intelligence Specialist

Fort Wayne, IN · On-site +1

$109K - $203K/yr

Artificial Intelligence Specialist Job Code: 38585 Job Location: Palm Bay, FL OR Fort Wayne, IN OR ... environments. This is an ideal opportunity for an engineer pursuing AI/ML application engineering ...

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Environmental Artificial Intelligence information

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$51.5K

$100.1K

$148K

How much do environmental artificial intelligence jobs pay per year?

As of Jul 14, 2026, the average yearly pay for environmental artificial intelligence in the United States is $100,142.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,500.00 and $112,000.00 per year, depending on experience, location, and employer.

What is Environmental Artificial Intelligence?

Environmental Artificial Intelligence (Environmental AI) refers to the application of artificial intelligence technologies to address environmental challenges. This field uses machine learning, data analysis, and predictive modeling to monitor ecosystems, optimize resource use, track pollution, and support sustainable practices. Environmental AI can help governments, organizations, and researchers analyze large datasets from satellites, sensors, and other sources to make informed decisions about conservation and climate action. By automating data interpretation and prediction, Environmental AI enables more efficient and effective solutions to pressing environmental problems.

How does an Environmental Artificial Intelligence professional typically collaborate with interdisciplinary teams to develop impactful solutions?

Environmental Artificial Intelligence professionals often work closely with environmental scientists, data engineers, policy experts, and software developers to design and implement AI-driven solutions for sustainability challenges. Collaboration involves regular meetings to align on project goals, exchanging domain-specific knowledge, and integrating diverse data sources. This interdisciplinary teamwork ensures that AI models are both scientifically rigorous and practically applicable, leading to more robust and impactful environmental outcomes. Building strong communication skills and being open to feedback are essential for success in these collaborative settings.

What are the key skills and qualifications needed to thrive as an Environmental Artificial Intelligence Specialist, and why are they important?

To thrive as an Environmental Artificial Intelligence Specialist, you need a strong background in environmental science, data analysis, and machine learning, often supported by a relevant degree in computer science, environmental engineering, or a related field. Proficiency with programming languages like Python or R, experience using AI frameworks (such as TensorFlow or PyTorch), and familiarity with GIS systems are typically required. Strong problem-solving skills, effective communication, and collaboration across multidisciplinary teams are crucial soft skills. These competencies enable specialists to design effective AI solutions for complex environmental challenges, ensuring accurate data-driven insights and impactful sustainability initiatives.

What is the difference between Environmental Artificial Intelligence vs Environmental Data Analyst?

AspectEnvironmental Artificial IntelligenceEnvironmental Data Analyst
Required CredentialsDegree in Computer Science, AI, or Environmental Science; knowledge of AI and machine learningDegree in Environmental Science, Data Analysis, or related field; proficiency in data analysis tools
Work EnvironmentResearch labs, tech companies, environmental agencies using AI modelsEnvironmental consulting firms, government agencies analyzing environmental data
Employer & Industry UsageTech firms, environmental startups, research institutionsGovernment agencies, environmental consultancies, NGOs
Common Search & Comparison IntentUnderstanding AI's role in environmental workAnalyzing environmental data for insights

Environmental Artificial Intelligence focuses on developing AI models to solve environmental problems, requiring skills in AI and machine learning. Environmental Data Analysts interpret environmental data to inform decisions, requiring strong data analysis skills. While both roles work within the environmental sector, AI specialists develop algorithms, whereas data analysts focus on data interpretation.

Infographic showing various Environmental Artificial Intelligence job openings in the United States as of July 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution, with an average salary of $100,142 per year, or $48.1 per hour.

Artificial Intelligence (AI) Engineer

Ascension Federal Services Inc.

Tampa, FL • On-site

$108K - $129K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 5 days ago

Job description

Job Description: Artificial Intelligence (AI) EngineerLocation: Tampa, FL, 33601

We are seeking an experienced Artificial Intelligence (AI) Engineer to join our team in Tampa, FL. The ideal candidate will have a strong background in computer science, mathematics, and statistics, as well as experience in developing and implementing AI solutions.

Responsibilities:
  • Design and develop AI algorithms and models
  • Implement and test AI solutions
  • Collaborate with cross-functional teams to integrate AI solutions into existing systems
  • Continuously improve AI models and algorithms based on feedback and performance metrics
  • Stay up-to-date with the latest AI technologies and trends
Requirements:
  • Bachelor's or Master's degree in Computer Science, Mathematics, or related field
  • 5+ Years experience in developing and implementing AI solutions
  • Strong programming skills in languages such as Python, Java, or C++
  • Experience with machine learning frameworks such as TensorFlow, Keras, or PyTorch
  • Strong analytical and problem-solving skills
  • Excellent communication and collaboration skills
Benefits:
  • Health, dental, and vision insurance
  • 401k
  • Flexible work environment - you manage your workday.

Apply