As of June 2026, Remote Sensing Scientists and Technologists has an AI-exposure score of 68/100 (High exposure) on the AI-Safe Careers index, blending O*NET tasks, the Anthropic Economic Index, the Penn/OpenAI study, and BLS data. This is an estimate of task exposure, not a prediction of job loss.

AI Exposure Score for

Remote Sensing Scientists and Technologists

68/100
High exposure
LowModerateElevatedHighVery High

More exposed than 87% of the roles we track. Median pay ~US$122,570. About 2,000 projected openings a year (BLS 2024–34 — growth plus replacement).

Pay & demand figures are US medians (BLS, in USD) — your local figures will differ. Your exposure score applies broadly.

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How you compare to similar Science roles

Remote Sensing Scientists and Technologists (you)
68
Food Science Technicians
68
Geological Technicians, Except Hydrologic Technicians
68
Remote Sensing Technicians
67
Quality Control Analysts
70
Survey Researchers
70
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Your tasks, by AI exposure

Automatable
  • Compile and format image data to increase its usefulness.
  • Develop or build databases for remote sensing or related geospatial project information.
  • Analyze data acquired from aircraft, satellites, or ground-based platforms, using statistical analysis software, image analysis software, or Geographic Information Systems (GIS).
  • Set up or maintain remote sensing data collection systems.
  • Prepare or deliver reports or presentations of geospatial project information.
  • Collect supporting data, such as climatic or field survey data, to corroborate remote sensing data analyses.
  • Direct all activity associated with implementation, operation, or enhancement of remote sensing hardware or software.
  • Discuss project goals, equipment requirements, or methodologies with colleagues or team members.
  • Organize and maintain geospatial data and associated documentation.
  • Monitor quality of remote sensing data collection operations to determine if procedural or equipment changes are necessary.
  • Recommend new remote sensing hardware or software acquisitions.
  • Develop automated routines to correct for the presence of image distorting artifacts, such as ground vegetation.
Augmentable
  • Manage or analyze data obtained from remote sensing systems to obtain meaningful results.
  • Train technicians in the use of remote sensing technology.
  • Integrate other geospatial data sources into projects.
  • Process aerial or satellite imagery to create products such as land cover maps.
  • Conduct research into the application or enhancement of remote sensing technology.
  • Use remote sensing data for forest or carbon tracking activities to assess the impact of environmental change.
  • Attend meetings or seminars or read current literature to maintain knowledge of developments in the field of remote sensing.
Durable
  • Design or implement strategies for collection, analysis, or display of geographic data.

Safer adjacent roles

Remote Sensing Technicians
80% skills overlap · High exposure · ~US$62,280
67
Geological Technicians, Except Hydrologic Technicians
72% skills overlap · High exposure · ~US$53,350
68
Electro-Mechanical and Mechatronics Technologists and Technicians
64% skills overlap · Elevated exposure · ~US$73,900
58
Geographic Information Systems Technologists and Technicians
56% skills overlap · Very High exposure · ~US$116,580
77
Geodetic Surveyors
48% skills overlap · High exposure · ~US$75,440
65
Surveying and Mapping Technicians
40% skills overlap · High exposure · ~US$54,240
70
Aerospace Engineers
40% skills overlap · Elevated exposure · ~US$134,960
61
Cartographers and Photogrammetrists
40% skills overlap · High exposure · ~US$81,390
71

Your AI-Safe Career Report

Every task scored with what to do about it · 5–10 safer roles with salary, demand & reachability · skill-gap map · a 30/60/90-day roadmap · plus a résumé & LinkedIn rewrite · PDF.
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AI was the most-cited reason for U.S. layoffs through mid-2026 — the workers who adapt earliest fare best. — Challenger, Gray & Christmas, 2026The upside: Workers with AI skills earn a roughly 62% wage premium — adapting pays. — PwC Global AI Jobs Barometer, 2026

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Important: This is an estimate of AI exposure, not a prediction that your job will disappear. It is designed to help you understand how your role may change and improve your career resilience.