As of June 2026, Remote Sensing Technicians has an AI-exposure score of 67/100 (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.
Remote Sensing Technicians
More exposed than 85% of the roles we track. Median pay ~US$62,280. About 10,600 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.
How you compare to similar Science roles
Your tasks, by AI exposure
- Merge scanned images or build photo mosaics of large areas, using image processing software.
- Develop or maintain geospatial information databases.
- Maintain records of survey data.
- Collect geospatial data, using technologies such as aerial photography, light and radio wave detection systems, digital satellites, or thermal energy systems.
- Document methods used and write technical reports containing information collected.
- Collect verification data on the ground, using equipment such as global positioning receivers, digital cameras, or notebook computers.
- Adjust remotely sensed images for optimum presentation by using software to select image displays, define image set categories, or choose processing routines.
- Calibrate data collection equipment.
- Monitor raw data quality during collection, and make equipment corrections as necessary.
- Verify integrity and accuracy of data contained in remote sensing image analysis systems.
- Collaborate with agricultural workers to apply remote sensing information to efforts to reduce negative environmental impacts of farming practices.
- Develop specialized computer software routines to customize and integrate image analysis.
- Evaluate remote sensing project requirements to determine the types of equipment or computer software necessary to meet project requirements, such as specific image types or output resolutions.
- Participate in the planning or development of mapping projects.
- Integrate remotely sensed data with other geospatial data.
- Correct raw data for errors due to factors such as skew or atmospheric variation.
- Manipulate raw data to enhance interpretation, either on the ground or during remote sensing flights.
- Consult with remote sensing scientists, surveyors, cartographers, or engineers to determine project needs.
- Collect remote sensing data for forest or carbon tracking activities involved in assessing the impact of environmental change.
- Prepare documentation or presentations, including charts, photos, or graphs.
No durable tasks identified for this role — its real, individually-assessed tasks consistently read as automatable (75%).
Safer adjacent roles
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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