Skills it runs on
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Ambulance Drivers and Attendants, Except Emergency Medical Technicians
Occupation · SOC 53-3011.00
Drive ambulance or assist ambulance driver in transporting sick, injured, or convalescent persons. Assist in lifting patients.
Also called: Ambulance Driver · Driver · EMS Driver (Emergency Medical Services Driver) · First Responder · Ambulance Attendant · CPR Ambulance Driver (Cardio Pulmonary Resuscitation Ambulance Driver) · Chair Car Driver · Driver Medic · Emergency Care Attendant (ECA) · Medical Van Driver (Medi-Van Driver) · Care Attendant · Certified Emergency Vehicle Technician (CEV Technician)
Job family: Transportation and Material Moving Occupations
Take this to your AI
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-53-3011-00/context.md directly.
AI work map
A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.
Market signal
Independent published positions, read together — not a forecast.
- Declining employment outlook (-1.3% by 2034)
- 1,400 openings/yr
- Low AI exposure
- Median pay $34,330/yr
- Work is mostly on-site (not teleworkable)
13th-percentile task overlap — yet about 1,400 openings a year (-1.3% projected, BLS) . What exposure means →
AI & job outlook
What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.
Exposure to current AI
Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.
| Measure | Rank vs all occupations | Percentile | Score |
|---|---|---|---|
| Overall AI exposure (Felten et al.) Low | 25th | -0.8 | |
| LLM task exposure, γ (OpenAI / Eloundou) Low | 13th | 0.1 | |
| AI assistant applicability (Microsoft) Low | 9th | 0.0 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.1), with simple added tooling (β 0.1), and including AI-powered software (γ 0.1). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.
This job mostly cannot be done remotely (Dingel–Neiman) — its hands-on tasks sit outside what software-based AI reaches.
Historical automation estimate (2013)
A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking.
Frey–Osborne probability 0.3 · 37th percentile among occupations · Moderate
Job outlook
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | Declining · -1.3% by 2034 |
| Projected annual openings | 1,400 |
| Employment 2024 → 2034 | 12,300 → 12,100 |
“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.
Where this work sits on the global GenAI gradient
The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international occupation below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.
Ambulance Drivers and Attendants, Except Emergency Medical Technicians sits at the 51st percentile of 427
occupations on the global GenAI task-exposure gradient
— exposure rose from 2023 to 2025. Each dot is one occupation; the
ringed one is this work. Exposure is task overlap, not automation or jobs lost.
28% mean task exposure (2025)
51st percentile of 427 placed occupations
+4 pts shift 2023 → 2025
| International occupation (ISCO-08) | Task exposure (2025) | Most tasks fall in |
|---|---|---|
| Car, Taxi and Van Drivers · 8322 | 28% | Gradient 1 |
Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.
Tasks
All 11 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
- Remove and replace soiled linens or equipment to maintain sanitary conditions. Core · importance 4.6
- Drive ambulances or assist ambulance drivers in transporting sick, injured, or convalescent persons. Core · importance 4.5
- Report facts concerning accidents or emergencies to hospital personnel or law enforcement officials. Core · importance 4.3
- Place patients on stretchers, and load stretchers into ambulances, usually with assistance from other attendants. Core · importance 4.3
- Accompany and assist emergency medical technicians on calls. Core · importance 4.2
- Replace supplies and disposable items on ambulances. Core · importance 4.1
- Perform minor maintenance on emergency medical services vehicles, such as ambulances. Core · importance 4.0
- Clean and wash rigs, ambulances, or equipment. Core · importance 4.0
- Earn and maintain appropriate certifications. Core · importance 3.9
- Administer first aid, such as bandaging, splinting, or administering oxygen. Core · importance 3.9
- Restrain or shackle violent patients. Core · importance 3.4
Work activities
- Maintain vehicles in good working condition.
- Clean vehicles or vehicle components.
- Drive passenger vehicles.
- Provide first aid or rescue assistance in emergencies.
- Maintain professional knowledge or certifications.
- Stock medical or patient care supplies.
- Notify others of emergencies, problems, or hazards.
- Hold patients to ensure proper positioning or safety.
Knowledge, skills & abilities
O*NET importance rating, from 1 (not important) to 5 (extremely important).
Knowledge
Abilities
| Oral Comprehension | 3.9 | |
| Problem Sensitivity | 3.9 | |
| Oral Expression | 3.8 | |
| Deductive Reasoning | 3.3 | |
| Near Vision | 3.3 | |
| Speech Recognition | 3.3 | |
| Written Comprehension | 3.1 | |
| Inductive Reasoning | 3.1 | |
| Information Ordering | 3.1 | |
| Spatial Orientation | 3.1 | |
| Time Sharing | 3.1 | |
| Arm-Hand Steadiness | 3.1 | |
| Multilimb Coordination | 3.1 | |
| Response Orientation | 3.1 | |
| Reaction Time | 3.1 | |
| Static Strength | 3.1 | |
| Far Vision | 3.1 | |
| Speech Clarity | 3.1 | |
| Category Flexibility | 3.0 | |
| Flexibility of Closure | 3.0 | |
| Perceptual Speed | 3.0 |
Essential skills
| Critical Thinking | 3.5 | |
| Active Listening | 3.4 | |
| Reading Comprehension | 3.1 | |
| Speaking | 3.1 | |
| Active Learning | 3.1 | |
| Monitoring | 3.0 |
Transferable skills
| Service Orientation | 3.5 | |
| Social Perceptiveness | 3.1 | |
| Instructing | 3.0 | |
| Operation and Control | 3.0 | |
| Judgment and Decision Making | 3.0 |
Skills in demand
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
Tools & technology
| Example | Category | |
|---|---|---|
| Microsoft Excel | Spreadsheet software | Hot technology |
| Microsoft Office software | Office suite software | Hot technology |
| Microsoft Outlook | Electronic mail software | Hot technology |
| Microsoft Word | Word processing software | Hot technology |
| Computer aided dispatch software | Helpdesk or call center software | |
| Mapping software | Map creation software |
Work context
How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.
How to get in
- Job zone
- Zone 2 — Job Zone 1-2: Very Little to Some Preparation Needed
- Education
- Usually requires a high school diploma or GED, though some occupations may not.
- Typical entry-level education
- High school diploma or equivalent · BLS, the typical path — not a requirement
- Related experience
- Some occupations may need little or no previous experience; others require several months to a year of experience. For example, landscaping and groundskeeping workers might require very little training or previous experience, while agricultural equipment operators can benefit from on-the job training.
- Preparation level
- SVP (Below 6.0) — total schooling plus on-the-job experience.
What to study: Health Professions and Related Programs . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.
Education of current workers
Share of people in this occupation at each level of education.
| High School Diploma | 56.3% | |
| Some College Courses | 23.1% | |
| Post-Secondary Certificate | 19.6% | |
| Less than a High School Diploma | 1.0% |
Interests & work styles
The interests and personal qualities O*NET associates with people who do this work.
Work styles
| Dependability | 7.0 | |
| Integrity | 6.0 | |
| Cooperation | 5.0 | |
| Self-Control | 4.0 | |
| Stress Tolerance | 3.0 | |
| Adaptability | 2.1 |
Career interests (Holland / RIASEC)
| Realistic | 6.5 | |
| Social | 4.7 | |
| Conventional | 3.6 | |
| Investigative | 2.5 |
Interest areas
| Transportation/Machine Operation | 6.1 | |
| Physical/Manual Labor | 5.3 | |
| Health Care Service | 4.6 | |
| Social Service | 3.3 | |
| Protective Service | 2.6 | |
| Personal Service | 2.2 |
Wages & employment
U.S. · annual wages (BLS OEWS)
| 10th percentile | $25,460 |
| 25th percentile | $29,580 |
| Median (50th) | $34,330 |
| 75th percentile | $38,000 |
| 90th percentile | $46,630 |
| People employed | 12,080 |
Industries that employ this occupation
Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.
| Industry | Workers | National median pay |
|---|---|---|
| Health Care and Social Assistance · Sector | 9,140 | $34,100 |
| Ambulance Services · National industry | 7,620 | $33,430 |
| Transportation and Warehousing · Sector | 610 | $36,030 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 150 | $30,540 |
| Other Services (except Public Administration) · Sector | 60 | $36,690 |
Where this work is most concentrated
Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).
| Industry | Concentration | Workers |
|---|---|---|
| Ambulance Services · National industry | 591.82× | 7,620 |
| Health Care and Social Assistance · Sector | 5.05× | 9,140 |
| Transportation and Warehousing · Sector | 1.05× | 610 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 0.21× | 150 |
Related occupations
Part of the Supply Chain & Transportation career cluster.
- Emergency Medical Technicians · 29-2042.00 Compare →
- Paramedics · 29-2043.00 Compare →
- Orderlies · 31-1132.00 Compare →
- Nursing Assistants · 31-1131.00 Compare →
- Home Health Aides · 31-1121.00 Compare →
- Surgical Assistants · 29-9093.00 Compare →
- Medical Assistants · 31-9092.00 Compare →
- Public Safety Telecommunicators · 43-5031.00 Compare →
- Lifeguards, Ski Patrol, and Other Recreational Protective Service Workers · 33-9092.00 Compare →
- Personal Care Aides · 31-1122.00 Compare →
- Emergency Management Directors · 11-9161.00 Compare →
- Emergency Medicine Physicians · 29-1214.00 Compare →
Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
What you can do with this
Options the data surfaces for Ambulance Drivers and Attendants, Except Emergency Medical Technicians — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Skills that travel
Capabilities this work builds that are used across many other occupations.
Adjacent roles
Occupations O*NET rates as related — the nearby moves on the map.
Paths in
How people typically prepare for this work.
- High school diploma or equivalent · typical entry level
- Job zone 2 — Job Zone 1-2: Very Little to Some Preparation Needed · preparation tier
- Health Professions and Related Programs · field of study
Zoom out
On the global GenAI exposure gradient this work sits around the 51st percentile of 427 international occupations.
Write a report on thisheadline · factoids · citation
Ambulance Drivers and Attendants, Except Emergency Medical Technicians show 13th-percentile AI task overlap — and about 1,400 annual U.S. openings
- Ambulance Drivers and Attendants, Except Emergency Medical Technicians rank in the 13th percentile (Low band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated.Eloundou et al. (GPTs are GPTs) + Felten AIOE
- The occupation is projected to see about 1,400 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI.BLS Employment Projections 2024–34
- BLS projects employment to be declining (-1.3%) from 2024 to 2034.BLS Employment Projections 2024–34
- Median annual pay is $34,330, across about 12,080 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Ambulance Drivers and Attendants, Except Emergency Medical Technicians show 13th-percentile AI task overlap — and about 1,400 annual U.S. openings • Ambulance Drivers and Attendants, Except Emergency Medical Technicians rank in the 13th percentile (Low band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE) • The occupation is projected to see about 1,400 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34) • BLS projects employment to be declining (-1.3%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $34,330, across about 12,080 U.S. workers. (BLS OEWS (May 2024)) Source: Singulariki — "Ambulance Drivers and Attendants, Except Emergency Medical Technicians". https://singulariki.com/roles/role-53-3011-00 Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.
AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom
Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.
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
- 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
Plain
Singulariki. "Ambulance Drivers and Attendants, Except Emergency Medical 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; 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/roles/role-53-3011-00
APA
Singulariki. (2026). Ambulance Drivers and Attendants, Except Emergency Medical Technicians. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-53-3011-00
BibTeX
@misc{singulariki-role-53-3011-00,
title = {Ambulance Drivers and Attendants, Except Emergency Medical Technicians},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; 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/roles/role-53-3011-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.