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Remote Sensing Scientist Jobs (NOW HIRING)

Turing

Remote Physics Expert (PhD)

San Francisco, CA · Remote

$100 - $200/hr

Remote contract for PhDs in Physics, Applied Physics, or related fields. Work on cutting-edge projects with top AI labs while earning $100+/hour, fully remote, with flexible weekly hours. No AI ...

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How much do remote sensing scientist jobs pay per year?

As of Jun 10, 2026, the average yearly pay for remote sensing scientist in the United States is $127,031.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $143,500.00 per year, depending on experience, location, and employer.

How much does remote sensing pay?

Remote sensing scientists typically earn between $60,000 and $110,000 annually, depending on experience, education, and location. Entry-level positions may start lower, while experienced professionals with specialized skills in GIS, satellite imagery analysis, or programming can earn higher salaries.

What is the difference between Remote Sensing Scientist vs GIS Analyst?

AspectRemote Sensing ScientistGIS Analyst
Required CredentialsBachelor's/Master's in Remote Sensing, Geospatial Science, or related fieldsBachelor's/Master's in Geography, GIS, or related fields
Work EnvironmentResearch labs, government agencies, environmental firmsUrban planning, environmental consulting, government agencies
Industry UsageSatellite data analysis, environmental monitoringMapping, spatial data analysis, infrastructure planning
Common Search IntentRemote sensing data interpretation, satellite imagery analysisGIS mapping, spatial data management

While both roles involve geospatial data, Remote Sensing Scientists focus on analyzing satellite and aerial imagery to monitor environmental changes, whereas GIS Analysts primarily work with geographic information systems to create maps and analyze spatial data for planning and decision-making.

What Does a Remote Sensing Scientist Do?

Remote sensing scientists analyze data using sensors to solve problems related to local issues like urban planning to global complications like natural resource management. As a remote sensing scientist, your responsibilities include using statistical analysis or image analysis software to analyze data acquired by aircraft, satellites, and other platforms. You monitor atmospheric changes, better understand geospatial information, and even help influence decision making regarding fair and equitable land use. Remote sensing scientists are closely involved in innumerable fields.

What are the key skills and qualifications needed to thrive as a Remote Sensing Scientist, and why are they important?

To thrive as a Remote Sensing Scientist, you need a strong background in geospatial analysis, image processing, and a relevant degree in fields such as geography, environmental science, or engineering. Familiarity with GIS software (like ArcGIS or QGIS), remote sensing tools (such as ENVI or ERDAS Imagine), and programming languages (Python, R) is typically required. Analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting data and presenting findings. These competencies are vital for accurately analyzing earth observation data, supporting decision-making, and ensuring the reliability of scientific conclusions.

What are Remote Sensing Scientists?

Remote Sensing Scientists are professionals who use satellite or airborne sensor data to analyze and interpret information about the Earth's surface and atmosphere. They apply techniques from physics, geography, and computer science to process and analyze remotely sensed images for applications such as environmental monitoring, agriculture, urban planning, and disaster management. Their work often involves using software to manipulate geospatial data and create maps or models that inform decision-making. Remote Sensing Scientists may work in government agencies, research institutions, or private industry, and often collaborate with other scientists and engineers.

What are some typical challenges Remote Sensing Scientists face when working with large datasets?

Remote Sensing Scientists often work with massive amounts of satellite or aerial imagery, which can present challenges related to data storage, processing speed, and data quality management. Ensuring the accuracy of image analysis and integrating data from multiple sensor types or platforms can also be complex. To address these issues, scientists frequently rely on high-performance computing, cloud-based platforms, and advanced algorithms for data preprocessing and analysis. Collaborating closely with data engineers and software developers is common to streamline workflow and maintain data integrity.
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What cities are hiring for Remote Sensing Scientist jobs? Cities with the most Remote Sensing Scientist job openings:
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Remote Sensing Scientist jobs near you
Infographic showing various Remote Sensing Scientist job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $127,031 per year, or $61.1 per hour.
Remote Physics Expert (PhD)

Remote Physics Expert (PhD)

Turing

San Francisco, CA • Remote

$100 - $200/hr

Contractor

Posted 13 days ago

Job description

Remote contract for PhDs in Physics, Applied Physics, or related fields. Work on cutting-edge projects with top AI labs while earning $100+/hour, fully remote, with flexible weekly hours. No AI experience required.

Role Overview:
Help fine-tune large language models (like ChatGPT) using your physics skills. You’ll design problems, check how well AI solves them, and work with researchers to build better benchmarks.

Responsibilities:
  • Design advanced physics problems to test AI performance (e.g., mechanics, electromagnetism, thermodynamics).
  • Develop clear, step-by-step solutions with rigorous logic.
  • Evaluate AI outputs for accuracy and quality of reasoning.
  • Collaborate with researchers to refine benchmarks across undergraduate to PhD-level physics topics.

Requirements:
  • PhD (pursuing or completed) in Physics, Applied Physics, or a related field.
  • Strong physics reasoning and problem-solving skills across advanced domains.
  • Ability to communicate complex ideas clearly in writing and provide structured feedback.
  • No AI experience required.

Perks:
  • Fully remote, flexible work.
  • Work on cutting-edge AI projects with leading LLM companies.

Offer Details:
  • Pay rate: $100+/hour (depends on role and candidate expertise).
  • Assessment: Shortlisted experts complete an evaluation before selection.
  • Assignments: Contract roles with defined start/end dates; up to 40 hrs/week.

About Turing:
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.

Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

About Turing:

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.