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Ophthalmic Medical Technicians

Occupation · SOC 29-2057.00

Assist ophthalmologists by performing ophthalmic clinical functions. May administer eye exams, administer eye medications, and instruct the patient in care and use of corrective lenses.

Also called: Certified Ophthalmic Surgical Assistant · Certified Ophthalmic Technician (COT) · Ophthalmic Assistant · Ophthalmic Tech (Ophthalmic Technician) · Certified Ophthalmic Medical Technician (Certified Ophthalmic Medical Tech) · Certified Ophthalmic Technician-Surgical Assistant (COT-SA) · Health Technician (Health Tech) · Ophthalmic Diagnostic Sonographer · Ophthalmic Medical Assistant · Ophthalmic Medical Technician (Ophthalmic Medical Tech) · Certified Retinal Angiographer · Eyecare Advisor

Job family: Healthcare Practitioners and Technical Occupations

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Download .md

A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-29-2057-00/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.

32nd-percentile task overlap — yet about 12,500 openings a year (+19.8% 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 50th 0.1
LLM task exposure, γ (OpenAI / Eloundou) Moderate 50th 0.6
AI assistant applicability (Microsoft) Low 1st 0.0

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.1), with simple added tooling (β 0.3), and including AI-powered software (γ 0.6). 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.

Job outlook

Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.

Outlook Growing fast · +19.8% by 2034
Projected annual openings 12,500
Employment 2024 → 2034 78,800 → 94,400

“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.

35% mean task exposure (2025)
63rd percentile of 427 placed occupations
−4 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Medical Assistants · 3256 35% 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 20 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 supplies.
  • Perform examinations using ophthalmic equipment, such as autorefractors, phoropters, tomographs, or retinoscopes.

Work activities

Knowledge, skills & abilities

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

Knowledge

Customer and Personal Service 4.3
Medicine and Dentistry 4.2
English Language 4.0
Mathematics 3.3
Administrative 2.9
Education and Training 2.8
Computers and Electronics 2.7
Psychology 2.6

Abilities

Oral Comprehension 3.9
Oral Expression 3.9
Near Vision 3.9
Speech Clarity 3.6
Written Expression 3.4
Problem Sensitivity 3.4
Written Comprehension 3.3
Deductive Reasoning 3.3
Selective Attention 3.1
Arm-Hand Steadiness 3.1
Finger Dexterity 3.1
Speech Recognition 3.1
Inductive Reasoning 3.0
Information Ordering 3.0
Category Flexibility 3.0
Far Vision 3.0
Manual Dexterity 2.9
Control Precision 2.9
Visual Color Discrimination 2.9

Essential skills

Active Listening 3.6
Speaking 3.3
Reading Comprehension 3.1
Writing 3.1
Critical Thinking 3.0
Active Learning 3.0
Monitoring 3.0
Learning Strategies 2.6

Transferable skills

Social Perceptiveness 3.1
Service Orientation 3.1
Coordination 3.0
Judgment and Decision Making 2.9
Instructing 2.6

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 In demand
Microsoft Office software Office suite software Hot technology
Microsoft Outlook Electronic mail software Hot technology
Microsoft PowerPoint Presentation software Hot technology
Microsoft Word Word processing software Hot technology
AcuityPro Medical software
Email software Electronic mail software
EyeMD EMR Healthcare Systems EyeMD EMR Medical software
ezChartWriter Medical software
iChartPlus Medical software
Medflow Complete Medical software
MediPro Medisoft Clinical Medical software
NaviNet Open Medical software
Web browser software Internet browser 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.

Contact With Others 4.9
Telephone Conversations 4.8
Work With or Contribute to a Work Group or Team 4.8
Indoors, Environmentally Controlled 4.8
Importance of Being Exact or Accurate 4.7
Face-to-Face Discussions with Individuals and Within Teams 4.7
Physical Proximity 4.6
Deal With External Customers or the Public in General 4.5
E-Mail 4.5
Frequency of Decision Making 4.5
Exposed to Disease or Infections 4.3
Impact of Decisions on Co-workers or Company Results 4.1
Freedom to Make Decisions 3.9
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 3.8
Spend Time Making Repetitive Motions 3.8
Health and Safety of Other Workers 3.7
Coordinate or Lead Others in Accomplishing Work Activities 3.6
Importance of Repeating Same Tasks 3.6
Determine Tasks, Priorities and Goals 3.6
Written Letters and Memos 3.5
Dealing With Unpleasant, Angry, or Discourteous People 3.5
Time Pressure 3.3
Spend Time Standing 3.2
Spend Time Walking or Running 3.1
Consequence of Error 3.1
Work Outcomes and Results of Other Workers 3.1
Conflict Situations 2.8
Spend Time Sitting 2.7
Degree of Automation 2.7
Level of Competition 2.7
Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 2.5
Exposed to Contaminants 1.9
Spend Time Bending or Twisting Your Body 1.9
Exposed to Hazardous Conditions 1.8
Dealing with Violent or Physically Aggressive People 1.7
Exposed to Extremely Bright or Inadequate Lighting Conditions 1.7
Exposed to Cramped Work Space, Awkward Positions 1.6
Exposed to Minor Burns, Cuts, Bites, or Stings 1.6
Public Speaking 1.6
Spend Time Keeping or Regaining Balance 1.4

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
Postsecondary nondegree award · 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.

High School Diploma 59.1%
Post-Secondary Certificate 27.3%
Associate's Degree (or other 2-year degree) 9.1%
Some College Courses 4.5%

Interests & work styles

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

Interest areas

Health Care Service 6.3
Medical Science 3.9
Life Science 3.2
Mathematics/Statistics 2.4
Teaching/Education 2.4
Personal Service 2.2
Mechanics/Electronics 2.2
Social Service 2.0
Office Work 1.9

Career interests (Holland / RIASEC)

Realistic 5.3
Investigative 4.8
Social 4.6
Conventional 4.4

Work styles

Dependability 3.0
Attention to Detail 2.8
Cautiousness 2.3

Wages & employment

U.S. · annual wages (BLS OEWS)

$34k10th$37k25th$44kMedian$50k75th$61k90th
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.
79k202494k2034 (proj.)+19.8% · Growing fast
Projected U.S. employment, 2024–2034 (BLS Employment Projections). A labor-market forecast for the occupation, not an AI-impact forecast.
10th percentile $34,210
25th percentile $37,100
Median (50th) $44,080
75th percentile $49,730
90th percentile $60,810
People employed 76,520

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 71,810 $44,440
Offices of Optometrists · National industry 21,020 $37,600
Retail Trade · Sector 3,120 $35,960
Educational Services · Sector 720 $57,320
Administrative and Support and Waste Management and Remediation Services · Sector 310 $54,650
Management of Companies and Enterprises · Sector 180 $47,440
Temporary Help Services · National industry 120 $58,400
Wholesale Trade · Sector $37,740
Professional, Scientific, and Technical Services · Sector $50,350

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
Offices of Optometrists · National industry 277.66× 21,020
Health Care and Social Assistance · Sector 6.26× 71,810
Retail Trade · Sector 0.4× 3,120
Management of Companies and Enterprises · Sector 0.13× 180
Educational Services · Sector 0.11× 720
Temporary Help Services · National industry 0.09× 120
Administrative and Support and Waste Management and Remediation Services · Sector 0.07× 310

Part of the Healthcare & Human Services career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Ophthalmic Medical Technicians sits at the 32nd percentile of AI task-overlap and the 19th 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 Ophthalmic Medical Technicians Surgical Assistants Surgical Technologists Endoscopy Technicians Respiratory Therapists Diagnostic Medical Sonographers Neurodiagnostic Technologists Cardiovascular Technologists and Technicians Radiologic 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 Ophthalmic 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.

Paths in

How people typically prepare for this work.

Zoom out

On the global GenAI exposure gradient this work sits around the 63rd percentile of 427 international occupations.

Write a report on thisheadline · factoids · citation

Ophthalmic Medical Technicians show 32nd-percentile AI task overlap — and about 12,500 annual U.S. openings

  • Ophthalmic Medical Technicians rank in the 32nd 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 12,500 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 growing fast (+19.8%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $44,080, across about 76,520 U.S. workers.BLS OEWS (May 2024)
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Ophthalmic Medical Technicians show 32nd-percentile AI task overlap — and about 12,500 annual U.S. openings

• Ophthalmic Medical Technicians rank in the 32nd 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 12,500 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 growing fast (+19.8%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $44,080, across about 76,520 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Ophthalmic Medical Technicians". https://singulariki.com/roles/role-29-2057-00
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. "Ophthalmic 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; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-29-2057-00

APA

Singulariki. (2026). Ophthalmic Medical Technicians. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-29-2057-00

BibTeX
@misc{singulariki-role-29-2057-00,
  title  = {Ophthalmic 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; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
  url    = {https://singulariki.com/roles/role-29-2057-00}
}

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

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