Remote Sensing Scientists and Technologists vs Surveying and Mapping Technicians
Side-by-side · O*NET · BLS · AI-exposure research · Anthropic Economic Index
A factual, source-backed comparison of Remote Sensing Scientists and Technologists and Surveying and Mapping Technicians on the dimensions both occupations carry. Every figure is a position within an independent published dataset — not a verdict on which job is better, safer, or more “future-proof.”
At a glance
| Dimension | Remote Sensing Scientists and Technologists | Surveying and Mapping Technicians |
|---|---|---|
| Median pay | $117,960 | $51,940 |
| Employment | 22,580 | 56,720 |
| Employment outlook (2024–34) · BLS projection | About average (+0.6%) | About average (+4.5%) |
| Annual openings · BLS projection | 2,000 | 7,600 |
| Typical education · O*NET | Most of these occupations require a four-year bachelor's degree, but some do not. | Most occupations in this zone require training in vocational schools, related on-the-job experience, or an associate's degree. |
| AI exposure · published exposure studies | Moderate · 59th pct | High · 72nd pct |
| Global GenAI gradient · ILO ISCO-08 · via crosswalk | 78th pct · 41% of tasks | 52nd pct · 28% of tasks |
| Observed AI use · Anthropic Economic Index | Automation-leaning (63.5%) | — |
| Mostly remote-capable · Dingel–Neiman | Yes | Yes |
Pay and employment are BLS OEWS estimates; outlook and openings are BLS 2024–2034 projections; AI exposure and observed-use figures come from separate research and reflect exposure and usage, not predictions that either job will disappear. Compare like with like.
Skills
Shared: Geography, Deductive Reasoning, Inductive Reasoning, Computers and Electronics, Mathematics, Reading Comprehension, Critical Thinking, Oral Comprehension, Written Comprehension, Oral Expression, Written Expression, Problem Sensitivity, Near Vision, Active Listening, Writing, Speaking, Engineering and Technology, Information Ordering, Mathematical Reasoning, Mathematics, Complex Problem Solving, Judgment and Decision Making, Category Flexibility, English Language, Fluency of Ideas, Speech Clarity, Flexibility of Closure, Active Learning, Monitoring, Speech Recognition, Design.
Specific to Remote Sensing Scientists and Technologists
- Science
- Systems Analysis
- Systems Evaluation
- Number Facility
- Physics
- Originality
- Operations Analysis
- Learning Strategies
Specific to Surveying and Mapping Technicians
- Customer and Personal Service
- Far Vision
- Coordination
- Administrative
- Social Perceptiveness
- Persuasion
- Service Orientation
- Time Management
Knowledge, skills & abilities O*NET rates as important for each occupation. “Shared” are common to both; the columns list what is distinctive to each (top by the order O*NET surfaces).
Tools & technology
Shared: Object or component oriented development software , Graphics or photo imaging software , Data base user interface and query software , Development environment software , Geographic information system , Web platform development software , Spreadsheet software , Office suite software , Electronic mail software , Presentation software , Process mapping and design software , Word processing software .
Specific to Remote Sensing Scientists and Technologists
Specific to Surveying and Mapping Technicians
Full profiles
This page is a summary. See the complete source-backed profile for Remote Sensing Scientists and Technologists or Surveying and Mapping Technicians — tasks, the full skill graph, tools, work context, preparation, wages by percentile, industries, AI exposure and the AI work map.
More comparisons
Related occupations you can place side by side on the same sourced scale.
- Remote Sensing Scientists and Technologists vs Remote Sensing Technicians
- Remote Sensing Scientists and Technologists vs Electro-Mechanical and Mechatronics Technologists and Technicians
- Remote Sensing Scientists and Technologists vs Geographic Information Systems Technologists and Technicians
- Remote Sensing Scientists and Technologists vs Geological Technicians, Except Hydrologic Technicians
- Remote Sensing Scientists and Technologists vs Geodetic Surveyors
- Remote Sensing Scientists and Technologists vs Calibration Technologists and Technicians
- Remote Sensing Scientists and Technologists vs Aerospace Engineers
- Remote Sensing Scientists and Technologists vs Cartographers and Photogrammetrists
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
- BLS Occupational Employment and Wage Statistics (OEWS) May 2024 U.S. Bureau of Labor Statistics
- BLS Employment Projections 2024–2034 U.S. Bureau of Labor Statistics
- Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
- Microsoft “Working with AI” working-with-ai Microsoft Research
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
- AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic
- ILO / Gmyrek et al. GenAI exposure gradient 2025 International Labour Organization
- IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022 Institute for Structural Research (IBS)
- Frey & Osborne (2013) frey-osborne-automation academic
- Dingel & Neiman (2020) dingel-neiman-workathome academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Singulariki. "Remote Sensing Scientists and Technologists vs Surveying and Mapping Technicians." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/compare/remote-sensing-scientists-and-technologists-vs-surveying-and-mapping-technicians
Singulariki. (2026). Remote Sensing Scientists and Technologists vs Surveying and Mapping Technicians. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/remote-sensing-scientists-and-technologists-vs-surveying-and-mapping-technicians
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title = {Remote Sensing Scientists and Technologists vs Surveying and Mapping Technicians},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
url = {https://singulariki.com/compare/remote-sensing-scientists-and-technologists-vs-surveying-and-mapping-technicians}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.