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Ai For Earth Jobs (NOW HIRING)

Maxar

Software Engineer, AI Agents & Generative AI

$146K - $195K/yr

Vantor is a place for problem solvers, changemakers, and go-getters-where people are working ... Insightsisredefining how the world understandswhat'shappening on Earth. We are an AI-native ...

Gallatin AI, Inc

AI Software Engineer

El Segundo, CA · On-site

$80K - $210K/yr

We're not building AI for its own sake. We're building it because faster, smarter decisions in the most demanding environments on earth can't wait. If you want to work somewhere the stakes are real ...

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Ai For Earth information

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How much do ai for earth jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for ai for earth in the United States is $17.40, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $19.23 per hour, depending on experience, location, and employer.

What is an AI for Earth specialist?

An AI for Earth specialist is a professional who uses artificial intelligence (AI) technologies to address environmental challenges such as climate change, biodiversity loss, and sustainable resource management. These specialists develop and apply AI models to analyze environmental data, predict outcomes, and provide actionable insights for conservation and sustainability efforts. Their work often involves collaborating with scientists, policymakers, and organizations to create solutions that support the health of our planet. The role requires expertise in machine learning, data science, and environmental science.

What are some typical challenges faced by professionals working in AI for Earth roles, and how can they be addressed?

Professionals in AI for Earth roles often encounter challenges such as handling large and diverse environmental datasets, integrating interdisciplinary knowledge, and ensuring the ethical use of AI in environmental applications. Collaborating with domain experts in ecology, climate science, and data engineering is crucial to bridge knowledge gaps and develop effective solutions. Staying current with advancements in both AI and environmental science, as well as fostering open communication within multidisciplinary teams, helps address these challenges and drive impactful results.

What are the key skills and qualifications needed to thrive as an AI for Earth specialist, and why are they important?

To thrive as an AI for Earth Specialist, you need expertise in machine learning, data analysis, and environmental science, often backed by a degree in computer science, environmental studies, or a related field. Familiarity with programming languages (such as Python or R), cloud computing platforms like Azure or AWS, and geospatial analysis tools is typically required. Strong problem-solving skills, collaboration, and a passion for sustainability help individuals excel in this role. These skills are essential for developing innovative AI solutions to address complex environmental challenges effectively and responsibly.

What is the difference between Ai For Earth vs Data Scientist?

AspectAi For EarthData Scientist
Required credentialsDegree in environmental science, computer science, or related fields; knowledge of AI and machine learningDegree in computer science, statistics, or related fields; proficiency in programming and data analysis
Work environmentResearch labs, environmental organizations, tech companies focusing on sustainabilityTech companies, finance, healthcare, and various industries analyzing data
Employer and industry usageEnvironmental NGOs, government agencies, companies applying AI to ecological issuesBroad industry use including tech, finance, healthcare, marketing

Ai For Earth specialists focus on applying AI to environmental challenges, often working in research or sustainability projects. Data Scientists analyze large datasets across industries to inform decision-making. While both roles require strong analytical skills and programming knowledge, Ai For Earth emphasizes environmental applications, whereas Data Scientists have a broader industry scope.

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Cities with the most Ai For Earth job openings:

What states have the most Ai For Earth jobs?

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What job categories do people searching Ai For Earth jobs look for?

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Ai For Earth jobs near you
Infographic showing various Ai For Earth job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $36,188 per year, or $17.4 per hour.

Software Engineer, AI Agents & Generative AI

Maxar

Remote

$146K - $195K/yr

Full-time

Retirement

Re-posted 4 days ago

Job description

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what's happening now and shape what's coming next. Vantor is a place for problem solvers, changemakers, and go-getters-where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world.

To be eligible for this position, you must be a U.S. Person, defined as a U.S. citizen, permanent resident, Asylee, or Refugee.

Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).

Please review the job details below.

Team Overview:
Insightsisredefining how the world understandswhat'shappening on Earth. We are an AI-native, agentic intelligence platform built from the ground up tooperateat planetaryscale -transforming vast streams of geospatial data into predictive signals that matter. Powered bycutting-edgeGoogle Cloud infrastructure, frontier Gen AI models, and collaboration with Google Research on next-generation Earth AI, we are pushing the boundaries ofhow AI can help enterprisesee, reason about, and act on.
Our mission is clear: deliver decision superiority in moments that matter. From national security to global enterprise operations, our platform provides contextual spatial awareness and anticipatory threat detection for customersoperatingin high-stakes environments. This is not incremental AI-this isintelligence engineered for global impact.
Responsibilities
  • Design, develop, and deploy AI-native software products that transform large-scale geospatial data into actionable intelligence and mission-critical insights.
  • Implement multi-agent workflows using modern orchestration frameworks (e.g., Google ADK,LangChain,LangGraph) to enable autonomous reasoning, planning, and execution.
  • Integratestate-of-the-artLarge Language Models (GPT-4, Claude, Gemini, etc.) to power contextual analysis, hypothesis generation, and adaptive decision-making.
  • Engineer agents capable of dynamic tool use, structured reasoning, and iterative self-refinement to improve insight quality over time.
  • Develop robust data ingestion and transformation layers to support pattern-of-life, detection, anomaly identification, and predictive analytics
  • Ensure secure, scalable integrations across cloud and enterprise environments.
  • Create feedback loops and reinforcement mechanisms to iteratively improve model reliability and operational trustworthiness.
  • Deploy andoperateAI systems in production using modern DevOps practices (containerization, orchestration, CI/CD).
  • Leverage AI development agents (e.g., Codex, Gemini CLI, Claude Code) as forcemultipliers for software design, implementation, testing, and documentation.
  • Contribute to shared engineering standards, documentation, and best practices for AI-first development.
Minimum Qualifications
  • Bachelor's degree inComputer Science, Systems Engineering, SoftwareEngineering, or a related field. Advanced degrees are preferred but notrequired.
  • Must be a U.S. Citizen
  • 7 years of proven experience in a relevant technology domain, with preference forSoftware engineer and AI/ML
  • 'Strong understanding of technical concepts related to managing cloud-based data and machine learning pipelines (e.g., AWSor GCP)
  • Significant software development experience withPython, JavaScript, or similar
Preferred Skills
  • Familiarity withvector databases, embeddings, and retrieval-augmentedgeneration(RAG)architectures.
  • Knowledge ofdistributed systems designand high-availability architectures supporting global-scale workloads.
  • Leverages AI for team velocityand upskilling, including using AI-assisted development heavily, prototyping quickly, automating repetitive engineeringtasksand moving faster than traditional SWE teams.
  • Excellent communication and interpersonal skills
  • Ability to work independently and collaboratively with remote and/or geographically distributed teams
  • Ability to work effectively in a fast-paced, dynamic environment and manage multiple priorities simultaneously

Pay Transparency: To support pay transparency, Vantor includes salary ranges in all U.S. job postings. Starting pay for this role will fall within the listed range and will be based on factors such as experience, qualifications, skills, location, and market conditions. Candidates who meet the minimum requirements for the role should not expect to receive compensation at the top of the range. The listed range reflects the expected pay for this position, and final offers will be determined based on each candidate's experience, expertise, and alignment with the role.

The base pay for this position within Colorado is: $146,000.00 - $195,000.00 - $214,500.00 annually. The base pay for this position within New Jersey is: $146,000.00 - $195,000.00 - $214,500.00 annually. The base pay for this position within Delaware is: $146,000.00 - $195,000.00 - $214,500.00 annually. The base pay for this position within the Washington, DC metropolitan area is: $161,000.00 - $215,000.00 - $236,500.00 annually. The base pay for this position within California is: $168,000.00 - $224,000.00 - $246,400.00 annually.

For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range.

Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at:https://www.Vantor.com/careers

Additionally, this position is incentive eligible with a target based on contribution, company performance, and/or individual results achieved; the specific incentive plan and target amount will be determined based on the role and breadth of contributions.

The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire.

The date of posting can be found on Vantor's Career page at the top of each job posting.

To apply, submit your application via Vantor's Career page.

EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.

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