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Medical Appliance Technicians

Occupation · SOC 51-9082.00

Construct, maintain, or repair medical supportive devices such as braces, orthotics and prosthetic devices, joints, arch supports, and other surgical and medical appliances.

Also called: Lab Technician · Orthotic Technician · Orthotic and Prosthetic Technician (O and P Technician) · Prosthetics Technician · Certified Pedorthotist · Hearing Aid Repair Technician · Orthopedic Technician · Prosthetic Technician · Registered Prosthetic Orthotic Technician · Arch Support Maker · Arch Support Technician · Arch-Support Maker

Job family: Production Occupations

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Download .md

A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-51-9082-00/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.

20th-percentile task overlap — yet about 1,500 openings a year (+3.7% 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.) Moderate 35th -0.5
LLM task exposure, γ (OpenAI / Eloundou) Low 25th 0.2
AI assistant applicability (Microsoft) Low 7th 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 0.2). 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 0.5 · 45th 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 About average · +3.7% by 2034
Projected annual openings 1,500
Employment 2024 → 2034 12,000 → 12,400

“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.

18% mean task exposure (2025)
27th percentile of 427 placed occupations
+2 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Medical and Dental Prosthetic Technicians · 3214 18% Not exposed

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 15 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.

Emerging tasks

Newer responsibilities O*NET has flagged as growing for this occupation.

  • Order parts or supplies for orthotic or prosthetic devices.

Work activities

Knowledge, skills & abilities

O*NET importance rating, from 1 (not important) to 5 (extremely important).

Knowledge

Production and Processing 3.9
Customer and Personal Service 3.7
English Language 3.5
Mechanical 3.4
Design 3.3
Education and Training 3.1

Essential skills

Active Listening 3.9
Critical Thinking 3.8
Reading Comprehension 3.6
Speaking 3.6
Monitoring 3.3
Writing 3.0
Active Learning 3.0

Abilities

Oral Comprehension 3.9
Problem Sensitivity 3.9
Near Vision 3.9
Oral Expression 3.8
Deductive Reasoning 3.8
Visualization 3.8
Arm-Hand Steadiness 3.8
Information Ordering 3.6
Finger Dexterity 3.6
Inductive Reasoning 3.5
Manual Dexterity 3.5
Speech Recognition 3.5
Speech Clarity 3.5
Control Precision 3.4
Multilimb Coordination 3.4
Written Comprehension 3.3

Transferable skills

Quality Control Analysis 3.8
Troubleshooting 3.6
Social Perceptiveness 3.5
Operations Monitoring 3.5
Complex Problem Solving 3.4
Judgment and Decision Making 3.3
Service Orientation 3.1
Coordination 3.0
Instructing 3.0
Equipment Maintenance 3.0
Repairing 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
Autodesk AutoCAD Computer aided design CAD software Hot technology
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
Footmaxx Metascan software Medical software
Gait analysis software Medical software
Ohio Willow Wood OMEGA Tracer System Computer aided design CAD software
Orthotic fabrication software Computer aided manufacturing CAM software
Seattle Systems Shapemaker Computer aided design CAD software
SoftSource CADview Computer aided design CAD software
Vorum Research Corporation CANFIT-PLUS Computer aided design CAD 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.

Indoors, Environmentally Controlled 4.8
Exposed to Contaminants 4.7
Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 4.6
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 4.5
Face-to-Face Discussions with Individuals and Within Teams 4.4
Frequency of Decision Making 4.4
Importance of Being Exact or Accurate 4.4
Time Pressure 4.4
Spend Time Standing 4.3
Exposed to Hazardous Equipment 4.3
Determine Tasks, Priorities and Goals 4.3
Contact With Others 4.3
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 4.2
Telephone Conversations 4.2
Work With or Contribute to a Work Group or Team 3.9
Impact of Decisions on Co-workers or Company Results 3.9
Freedom to Make Decisions 3.9
Work Outcomes and Results of Other Workers 3.9
Physical Proximity 3.8
Coordinate or Lead Others in Accomplishing Work Activities 3.8
E-Mail 3.8
Deal With External Customers or the Public in General 3.8
Health and Safety of Other Workers 3.8
Spend Time Making Repetitive Motions 3.5
Exposed to Hazardous Conditions 3.3
Level of Competition 3.3
Exposed to Minor Burns, Cuts, Bites, or Stings 3.3
Importance of Repeating Same Tasks 3.2
Consequence of Error 3.2
Spend Time Bending or Twisting Your Body 2.9
Exposed to Disease or Infections 2.9
Spend Time Walking or Running 2.9
Written Letters and Memos 2.9
Wear Specialized Protective or Safety Equipment such as Breathing Apparatus, Safety Harness, Full Protection Suits, or Radiation Protection 2.8
Conflict Situations 2.7
Dealing With Unpleasant, Angry, or Discourteous People 2.7
Public Speaking 2.5
Exposed to Cramped Work Space, Awkward Positions 2.1
Pace Determined by Speed of Equipment 2.0
Spend Time Sitting 2.0

How to get in

Job zone
Zone 3 — Job Zone Three: Medium Preparation Needed
Education
Most occupations in this zone require training in vocational schools, related on-the-job experience, or an associate's degree.
Typical entry-level education
High school diploma or equivalent · BLS, the typical path — not a requirement
Related experience
Previous work-related skill, knowledge, or experience is required for these occupations. For example, an electrician must have completed three or four years of apprenticeship or several years of vocational training, and often must have passed a licensing exam, in order to perform the job.
Preparation level
SVP (6.0 to < 7.0) — 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.

Associate's Degree (or other 2-year degree) 26.3%
High School Diploma 21.2%
Bachelor's Degree 18.2%
Post-Secondary Certificate 10.2%
Master's Degree 9.5%
Some College Courses 8.6%
Less than a High School Diploma 5.8%
Post-Baccalaureate Certificate 0.3%

Interests & work styles

The interests and personal qualities O*NET associates with people who do this work.

Career interests (Holland / RIASEC)

Realistic 7.0
Investigative 4.0
Conventional 3.7
Social 3.2

Interest areas

Engineering 4.8
Mechanics/Electronics 4.5
Health Care Service 4.3
Physical/Manual Labor 3.8
Medical Science 2.6
Construction/Woodwork 2.2
Mathematics/Statistics 2.0
Personal Service 2.0
Life Science 1.9

Work styles

Dependability 3.0
Attention to Detail 2.8
Cautiousness 2.3

Wages & employment

U.S. · annual wages (BLS OEWS)

$37k10th$40k25th$47kMedian$59k75th$75k90th
Annual wages by percentile — U.S. (BLS OEWS). The light band spans the 10th–90th percentile; the darker band is the middle half (25th–75th); the line is the median.
12k202412k2034 (proj.)+3.7% · About average
Projected U.S. employment, 2024–2034 (BLS Employment Projections). A labor-market forecast for the occupation, not an AI-impact forecast.
10th percentile $36,560
25th percentile $40,300
Median (50th) $47,060
75th percentile $58,710
90th percentile $74,570
People employed 11,490

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
Manufacturing · Sector 7,140 $46,450
Health Care and Social Assistance · Sector 1,760 $50,910
Wholesale Trade · Sector 1,120 $57,620
Retail Trade · Sector 900 $46,220
Administrative and Support and Waste Management and Remediation Services · Sector 200 $40,810
Temporary Help Services · National industry 170 $40,040
Real Estate and Rental and Leasing · Sector $36,830
Other Services (except Public Administration) · Sector $47,310

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
Manufacturing · Sector 7.51× 7,140
Wholesale Trade · Sector 2.49× 1,120
Health Care and Social Assistance · Sector 1.02× 1,760
Temporary Help Services · National industry 0.86× 170
Retail Trade · Sector 0.77× 900
Administrative and Support and Waste Management and Remediation Services · Sector 0.3× 200

Part of the Healthcare & Human Services career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Medical Appliance Technicians sits at the 20th percentile of AI task-overlap and the 25th percentile of median pay, placed here against 10 adjacent occupations on the same two axes. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Medical Appliance Technicians Structural Metal Fabricators and Fitters Molders, Shapers, and Casters, Except Metal and Plastic Surgical Technologists Ophthalmic Laboratory Technicians Orthotists and Prosthetists Medical Equipment Repairers Calibration Technologists and Technicians AI task-overlap percentile → ↑ Median pay
AI task-overlap percentile (horizontal) vs. median-pay percentile (vertical), across all scored occupations. This occupation is highlighted; related occupations are plotted alongside it. Overlap measures shared tasks with AI, not automation.

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 Medical Appliance 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.

Paths in

How people typically prepare for this work.

Zoom out

On the global GenAI exposure gradient this work sits around the 27th percentile of 427 international occupations.

Write a report on thisheadline · factoids · citation

Medical Appliance Technicians show 20th-percentile AI task overlap — and about 1,500 annual U.S. openings

  • Medical Appliance Technicians rank in the 20th 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 1,500 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 about average (+3.7%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $47,060, across about 11,490 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Medical Appliance Technicians show 20th-percentile AI task overlap — and about 1,500 annual U.S. openings

• Medical Appliance Technicians rank in the 20th 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 1,500 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 about average (+3.7%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $47,060, across about 11,490 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Medical Appliance Technicians". https://singulariki.com/roles/role-51-9082-00
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.

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

Cite this page
Plain

Singulariki. "Medical Appliance 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-51-9082-00

APA

Singulariki. (2026). Medical Appliance Technicians. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-51-9082-00

BibTeX
@misc{singulariki-role-51-9082-00,
  title  = {Medical Appliance 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-51-9082-00}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.

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