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Earth Observation Jobs (NOW HIRING)

Hum AI

AI Researcher

San Francisco, CA · On-site

Hum is a seed-funded startup on a mission to create positive impact through earth observation and AI. Founded at the University of Waterloo by a team of PhDs and engineers, we're backed by some of ...

Development Seed

Technical Project Lead

Huntsville, AL · On-site

Experience with natural sciences, Earth observation, or research-oriented projects * Excellent communication and interpersonal skills, with the ability to build trust across complex stakeholder ...

EarthDaily Analytics

Director, Product Management

Osseo, MN · On-site

$165K - $205K/yr

EDA's signature Earth Observation mission, the EarthDaily Constellation (EDC), is currently under construction. The EDC will be the most powerful global change detection and change monitoring system ...

Array Labs

Mechanical Engineer

Redwood City, CA

$150K - $250K/yr

We design and build our satellites end-to-end, producing the world's most advanced earth observation satellites. Our fleet will deliver unprecedented levels of accuracy, coverage, and responsiveness ...

Array Labs

Project Engineer

San Francisco, CA · On-site

$150K - $250K/yr

We design and build our satellites end-to-end, producing the world's most advanced earth observation satellites. Our fleet will deliver unprecedented levels of accuracy, coverage, and responsiveness ...

EarthDaily Analytics

Director, Product Management

Osseo, MN · On-site

$165K - $205K/yr

EDA's signature Earth Observation mission, the EarthDaily Constellation (EDC), is currently under construction. The EDC will be the most powerful global change detection and change monitoring system ...

Array Labs

Mechanical Engineer

Redwood City, CA

We design and build our satellites end-to-end, producing the world's most advanced earth observation satellites. Our fleet will deliver unprecedented levels of accuracy, coverage, and responsiveness ...

Array Labs

Engineering Program Manager

Bodega Bay, CA

$153K/yr

We design and build our satellites end-to-end, producing the world's most advanced earth observation satellites. Our fleet will deliver unprecedented levels of accuracy, coverage, and responsiveness ...

Array Labs

Engineering Program Manager

San Francisco, CA · On-site

$150K - $250K/yr

We design and build our satellites end-to-end, producing the world's most advanced earth observation satellites. Our fleet will deliver unprecedented levels of accuracy, coverage, and responsiveness ...

Array Labs

Technical Program Manager

San Francisco, CA · On-site

$150K - $250K/yr

We design and build our satellites end-to-end, producing the world's most advanced earth observation satellites. Our fleet will deliver unprecedented levels of accuracy, coverage, and responsiveness ...

Array Labs

Project Engineer

San Francisco, CA · On-site

$150K - $250K/yr

We design and build our satellites end-to-end, producing the world's most advanced earth observation satellites. Our fleet will deliver unprecedented levels of accuracy, coverage, and responsiveness ...

Development Seed

Technical Project Lead

Huntsville, AL · On-site

Experience with natural sciences, Earth observation, or research-oriented projects * Excellent communication and interpersonal skills, with the ability to build trust across complex stakeholder ...

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Earth Observation information

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$11

$29

$68

How much do earth observation jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for earth observation in the United States is $29.61, according to ZipRecruiter salary data. Most workers in this role earn between $13.46 and $38.46 per hour, depending on experience, location, and employer.

What are Earth Observation jobs?

Earth Observation jobs involve the collection, analysis, and interpretation of data about Earth's surface and atmosphere, typically using satellite or airborne sensors. Professionals in this field work with remote sensing technologies to monitor environmental changes, track natural disasters, support agriculture, and inform policy decisions. These roles can include data analysts, remote sensing scientists, GIS specialists, and engineers. Earth Observation specialists are employed by government agencies, research institutions, private companies, and international organizations.

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

Professionals in Earth Observation often encounter challenges related to managing and processing large volumes of satellite data, ensuring data accuracy, and staying updated with rapidly evolving technology. Collaboration with interdisciplinary teams, including data scientists, engineers, and environmental experts, is common to address these issues. Staying proactive by learning new analytical tools and participating in ongoing training can help overcome technical hurdles and enhance data interpretation. Maintaining clear communication within project teams also helps in resolving issues efficiently and ensures project success.

What are the key skills and qualifications needed to thrive in Earth Observation, and why are they important?

To thrive in Earth Observation, you need strong analytical skills in remote sensing, geospatial data analysis, and a background in earth sciences, geography, or a related field. Familiarity with GIS software (such as ArcGIS or QGIS), satellite data processing tools, and programming languages like Python or R is typically required. Attention to detail, problem-solving abilities, and effective communication skills help professionals interpret data and convey findings to diverse stakeholders. These competencies are vital for accurately monitoring environmental changes and supporting decision-making in fields such as climate science, agriculture, and disaster management.
More about Earth Observation jobs
What cities are hiring for Earth Observation jobs? Cities with the most Earth Observation job openings:
What states have the most Earth Observation jobs? States with the most job openings for Earth Observation jobs include:
What job categories do people searching Earth Observation jobs look for? The top searched job categories for Earth Observation jobs are:
Earth Observation jobs near you
Infographic showing various Earth Observation job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 91% Full Time, 7% Part Time, and 1% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $61,583 per year, or $29.6 per hour.

AI Researcher

Hum AI

San Francisco, CA • On-site

Full-time

Posted yesterday

Job description

AI Researcher
Location: San Francisco
AboutHum.ai
Hum.ai is building planetary superintelligence. Backed by top funds, we've raised $10M+ and are now heads down building.
Join us at the cutting edge, where we're scaling generative transformer diffusion models, designing next-gen benchmarks, and engineering foundation models that go far beyond LLMs. You'll be at the core of a moonshot journey to define what's next in agentic AI and frontier model capabilities.
We are looking for an experienced AI Researcher who is eager to advance the frontier of AI, help us design, build, and scale end-to-end novel foundation models, and leverage their hands-on experience implementing a wide range of pre-training and post-training models, including large foundation models (beyond just LLM fine-tuning).
Who are we?
Hum is a seed-funded startup on a mission to create positive impact through earth observation and AI. Founded at the University of Waterloo by a team of PhDs and engineers, we're backed by some of the best AI and climate tech investors like HF0, Inovia Capital and Propeller Ventures, angels like James Tamplin (cofounder Firebase) and Sid Gorham (cofounder OpenTable, Granular), and partners like Amazon AWS and the United Nations.
What do we do?
We're building multimodal foundation models for the natural world. We believe there's more to the world than the internet + more to intelligence than memorizing the internet. Our models are trained on satellite remote sensing and real world ground truth data, and are used by our customers in nature conservation, carbon dioxide removal, and government to protect and positively impact our increasingly changing world. Our ultimate goal is to build AGI of the natural world.
The role will involve:
  • Research & Design:
    • Deep understanding of current machine learning research.
    • Proven track record of generating new ideas or enhancing existing ones in machine learning, evidenced by first-author publications or projects.
    • Contribute to research that uncovers the semantics of large datasets, with a focus on earth observation and remote sensing data.
    • Ability to independently manage and execute a research agenda, selecting impactful problems and conducting long-term projects autonomously.
  • Implementation:
    • Developing high-level proof-of-concept (POC) models.
    • Experimenting with new state-of-the-art techniques to surpass existing models.
    • Plan and execute innovative research and development to push the boundaries of current technology.
  • Writing and Publication:
    • Assisting in the preparation and writing of technical and scientific papers for publication.
    • Demonstrated strong scientific communication/presentation skills.

Requirements
  • PhD degree in computer science, engineering, a related field, or equivalent experience.
  • Proven track record of successful machine learning research projects
  • 5+ years of experience
  • Strong scientific understanding of the field of generative AI
    • Preference for experience training large diffusion or transformer models, especially on video or time series data.
  • Preference for San Francisco or Waterloo, but we're willing to consider remote for great candidates.

Nice to have
  • Proficiency in scripting languages such as Python, Bash, or PowerShell.
  • Demonstrated experience with deep learning and transformer models.
  • Familiarity with designing, pre-training, and fine-tuning large models.
  • Proficiency with Python, Ray Trainer, PyTorch, and Anyscale framework.
  • Strong technical engineering skills.
  • Previous experience in creating high-performance implementations of deep learning algorithms.
  • Past training of video or time-series models
  • Team player, willing to undertake various tasks to support the team.
  • Familiarity with cloud platforms such as AWS, GCP, or Azure.

Apply