Train technicians in the use of remote sensing technology.

“Train technicians in the use of remote sensing technology.” is a core task performed by Remote Sensing Scientists and Technologists. Among the occupation's 24 rated tasks, workers place it 12th by importance (#13 most important). About 92% of workers say it is relevant to their job.

This is a single occupation-specific task statement from O*NET. The figures below describe how central the task is to the job and what independent studies measure about AI and this kind of work — not a prediction that the task will be automated.

Work activities this task rolls up to

O*NET groups concrete tasks into broader work activities shared across many occupations.

• Train others on operational or work procedures. in Training and Teaching Others

AI exposure

The OpenAI / Eloundou “GPTs are GPTs” study rates this task E2. Exposure with tools — software built on top of a language model (not the model alone) could cut the time by at least half.

Exposure measures whether a model could meaningfully speed the task up — it is an estimate of overlap with model capabilities, not a measure of whether the work will be done by software. The study's intermediate score (β) for this task is 0.50. Automation potential label: T1.

Other tasks in this occupation

• Manage or analyze data obtained from remote sensing systems to obtain meaningful results. · importance 4.6
• Analyze data acquired from aircraft, satellites, or ground-based platforms, using statistical analysis software, image analysis software, or Geographic Information Systems (GIS). · importance 4.5
• Integrate other geospatial data sources into projects. · importance 4.4
• Organize and maintain geospatial data and associated documentation. · importance 4.4
• Compile and format image data to increase its usefulness. · importance 4.3
• Prepare or deliver reports or presentations of geospatial project information. · importance 4.2
• Discuss project goals, equipment requirements, or methodologies with colleagues or team members. · importance 4.2
• Process aerial or satellite imagery to create products such as land cover maps. · importance 4.1
• Design or implement strategies for collection, analysis, or display of geographic data. · importance 4.0
• Develop or build databases for remote sensing or related geospatial project information. · importance 4.0
• Collect supporting data, such as climatic or field survey data, to corroborate remote sensing data analyses. · importance 3.9
• Monitor quality of remote sensing data collection operations to determine if procedural or equipment changes are necessary. · importance 3.9
• Set up or maintain remote sensing data collection systems. · importance 3.8
• Direct all activity associated with implementation, operation, or enhancement of remote sensing hardware or software. · importance 3.7

See all tasks on the Remote Sensing Scientists and Technologists page.

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

• O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
• “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic

Data compiled June 2, 2026. Figures are estimates, not advice.

@misc{singulariki-task-18277,
  title  = {Train technicians in the use of remote sensing technology.},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
  url    = {https://singulariki.com/tasks/task-18277}
}