Will AI replace remote sensing technicians?

Some tasks are already being done by AI or machines; the rest still needs a person. About 2h 30m of a typical shift is made up of tasks that AI or robots have done on their own in real use somewhere. That doesn't mean those hours are automated in a typical workplace. The breakdown: 1h 2m that AI mostly does alone, 1h 28m that robots have done in real workplaces. The other 5h 30m (69%) stays with people. Separately, BLS expects about 4.4% more of these jobs by 2035 (all jobs: +3.5%).

AI shows up regularly in 3 of 21 tasks, about 1h 2m of a typical shift. The biggest ones:

• Prepare documentation or presentations, including charts, photos, or graphs. (25m a shift, AI mostly does it alone)
• Document methods used and write technical reports containing information collected. (19m a shift, AI mostly does it alone)
• Develop specialized computer software routines to customize and integrate image analysis. (19m a shift, AI mostly does it alone)

For some tasks, yes. Robots have done 4 of this job's tasks in workplaces like this one, about 1h 28m of a typical shift. 1 more task has only been done in factory setups built around the machine, so it stays with people here.

• Collect geospatial data, using technologies such as aerial photography, light and radio wave detection systems, digital satellites, or thermal energy systems. (44m a shift; e.g. Percepto Sparrow / Air Max with Percepto AIM, in use)
• Monitor raw data quality during collection, and make equipment corrections as necessary. (19m a shift; e.g. Percepto Air / Percepto Base / AIM, in use)
• Collect verification data on the ground, using equipment such as global positioning receivers, digital cameras, or notebook computers. (19m a shift; e.g. Waymo Driver robotaxi fleet, in use)
• Collect remote sensing data for forest or carbon tracking activities involved in assessing the impact of environmental change. (6m a shift; e.g. USGS multirotor UAS lidar/imagery collection (National Uncrewed Systems Office), in use)

5h 30m of a typical shift, or 69%, goes to tasks with no AI or robot evidence yet. No AI usage or robot deployment has shown up for these so far. The biggest:

• Verify integrity and accuracy of data contained in remote sensing image analysis systems. (37m a shift)
• Integrate remotely sensed data with other geospatial data. (37m a shift)
• Adjust remotely sensed images for optimum presentation by using software to select image displays, define image set categories, or choose processing routines. (37m a shift)
• Consult with remote sensing scientists, surveyors, cartographers, or engineers to determine project needs. (31m a shift)
• Manipulate raw data to enhance interpretation, either on the ground or during remote sensing flights. (31m a shift)

Much of it comes down to where and how the work happens. In-person, hands-on and high-stakes work is where AI and robots have made the least headway so far. In the official O*NET survey of people in this job:

• 63% talk face to face with others every day
• 56% use their hands on tools, objects or controls more than half the time

For the 3 tasks in this job where AI shows up and timing data exists, a typical request takes about 10h 43m for a person alone and about 41m with AI. These are Claude's own estimates from real conversations in April and May 2026 (Anthropic Economic Index). They describe single requests, not whole workdays, and time saved on a task doesn't mean jobs are cut. The biggest gaps:

• Document methods used and write technical reports containing information collected (about 12h 10m alone, 41m with AI)
• Prepare documentation or presentations, including charts, photos, or graphs (about 10h 43m alone, 34m with AI)
• Develop specialized computer software routines to customize and integrate image analysis (about 9h 12m alone, 1h 10m with AI)

On Indeed, job postings in the Scientific Research & Development sector are at 84% of their February 2020 level (all U.S. postings: 104%), up 19.9% from a year earlier, as of Oct 9, 2026. BLS separately expects about 11,000 openings a year in this job through 2035. Across all U.S. postings, 7.3% now mention AI skills. Sector postings cover more than this one job and move for many reasons besides AI.

The median pay is about $62,280 a year ($29.94 an hour), 22% above the median for all U.S. jobs ($50,980). Most people in this job earn between $39,000 and $102,690 a year; that range covers the middle 80%. Pay figures are from BLS, May 2025, and vary a lot by state and employer. Pick a state to compare:

BLS projects growth of 4.4% from 2025 to 2035, compared with 3.5% growth for all jobs. That's about 93,000 jobs in 2035. It expects about 11,000 openings a year, mostly from people retiring or changing careers. These projections don't single out AI as a cause.

About 74,000 people in the U.S., roughly 0.05% of all workers (BLS, May 2025). That makes it the 317th largest of the 796 jobs on this site. BLS expects about 93,000 in 2035.

The most common requirement is a bachelor's degree: about 62% of people in the job said so in the official O*NET survey. O*NET rates the job at level 4 of 5 for preparation, which usually means: bachelor's degree. Requirements vary by state and employer, especially for licensed work.

These come from the job's official skill ratings and from the tasks that AI and robots touch least today. Building them keeps you strong in the parts of the work that still need a person:

• Skills that matter more here than in most jobs: Mathematics, Systems Analysis, Critical Thinking, Judgment and Decision Making
• Get strong at the parts of the job that stay with people (listed above), which take 5h 30m of a typical shift
• Tools employers list: The MathWorks MATLAB, R, Python, Microsoft Office software, Microsoft Excel
• Learn to use AI well on the tasks where it already shows up in this job (listed above)

Yes. Occupational experts recently added these to the official task list, a sign of how the work itself is shifting. New tasks aren't rated for AI or robots yet:

• Operate remote sensing equipment on drones to collect data in areas that are difficult to access or require high-resolution imagery.

These use similar skills, with less of a typical shift touched by AI or robots. Matches come from 109 official ratings of skills, knowledge and work activities, and each needs the same or less preparation unless the official list relates the jobs directly:

• Geodetic Surveyors (0m touched, $75k median pay)
• Remote Sensing Scientists and Technologists (34m touched, $123k median pay)
• Surveying and Mapping Technicians (1h 37m touched, $54k median pay)

Each task carries its own evidence label. For this job: 3 observed in real AI use, 4 with robots in real deployments, 14 with no AI or robot evidence found. The minutes per task are estimates, not measured hours, and "no evidence" doesn't prove a task is safe.