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Ophthalmic Laboratory Technicians

Occupation · SOC 51-9083.00

Cut, grind, and polish eyeglasses, contact lenses, or other precision optical elements. Assemble and mount lenses into frames or process other optical elements. Includes precision lens polishers or grinders, centerer-edgers, and lens mounters.

Also called: Lab Technician (Laboratory Technician) · Optical Lab Technician (Optical Laboratory Technician) · Optical Technician · Surfacing Technician · Edger Technician · Finishing Lab Technician · Lens Grinder and Polisher · Line Operator · Polisher · Artificial Glass Eye Maker · Artificial Plastic Eye Maker · Bench Hand

Job family: Production Occupations

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A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-51-9083-00/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.

22nd-percentile task overlap — yet about 2,400 openings a year (+2.3% 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 32nd -0.6
LLM task exposure, γ (OpenAI / Eloundou) Low 24th 0.2
AI assistant applicability (Microsoft) Low 15th 0.1

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.0), 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.

Most of this job's tasks can be done remotely (Dingel–Neiman), which tends to track with higher digital and AI exposure.

Mixed signals. Today's AI/LLM studies show relatively low exposure for this job, but the older (2013) Frey–Osborne work rated it higher for computerization and robotics. Different eras, different technologies — the AI measures above reflect the current state.

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 1.0 · 94th percentile among occupations · High

How AI is actually used in this job

Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.

Inspect, weigh, and measure mounted or unmounted lenses after completion to verify alignment and conformance to specifications, using precision instruments. 0.6%

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 · +2.3% by 2034
Projected annual openings 2,400
Employment 2024 → 2034 19,600 → 20,000

“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.

14% mean task exposure (2025)
16th percentile of 427 placed occupations
+7 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Craft and Related Workers not Elsewhere Classified · 7549 14% 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 18 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.

  • Tint lenses according to customer specifications.

Work activities

Knowledge, skills & abilities

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

Knowledge

Production and Processing 3.9
Mechanical 3.4
Mathematics 3.3
Customer and Personal Service 3.1
Administration and Management 3.0
English Language 3.0

Abilities

Near Vision 3.8
Arm-Hand Steadiness 3.6
Finger Dexterity 3.6
Manual Dexterity 3.5
Control Precision 3.5
Deductive Reasoning 3.4
Problem Sensitivity 3.3
Information Ordering 3.1
Visualization 3.1
Selective Attention 3.1
Written Comprehension 3.0
Category Flexibility 3.0
Flexibility of Closure 3.0
Perceptual Speed 3.0
Rate Control 3.0
Reaction Time 3.0
Wrist-Finger Speed 3.0
Visual Color Discrimination 3.0
Speech Recognition 3.0
Oral Comprehension 2.9
Oral Expression 2.9
Written Expression 2.9
Inductive Reasoning 2.9
Multilimb Coordination 2.9

Transferable skills

Operation and Control 3.3
Operations Monitoring 3.1
Quality Control Analysis 3.1
Time Management 3.1
Judgment and Decision Making 3.0

Essential skills

Reading Comprehension 3.0
Critical Thinking 3.0
Monitoring 3.0
Active Listening 2.9
Speaking 2.9

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 PowerPoint Presentation software Hot technology
Microsoft Word Word processing software Hot technology
SAP software Enterprise resource planning ERP software Hot technology
Electronic medical record EMR software Medical software
Eyeglass design software 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 5.0
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 4.6
Time Pressure 4.6
Determine Tasks, Priorities and Goals 4.3
Importance of Being Exact or Accurate 4.3
Face-to-Face Discussions with Individuals and Within Teams 4.2
Spend Time Making Repetitive Motions 4.2
Importance of Repeating Same Tasks 4.1
Work With or Contribute to a Work Group or Team 4.1
Freedom to Make Decisions 4.0
Pace Determined by Speed of Equipment 3.9
Spend Time Standing 3.9
Exposed to Contaminants 3.8
Frequency of Decision Making 3.7
Impact of Decisions on Co-workers or Company Results 3.6
Telephone Conversations 3.5
Physical Proximity 3.5
Dealing With Unpleasant, Angry, or Discourteous People 3.5
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 3.5
Contact With Others 3.4
Deal With External Customers or the Public in General 3.3
Coordinate or Lead Others in Accomplishing Work Activities 3.2
Spend Time Walking or Running 3.2
Degree of Automation 3.2
Work Outcomes and Results of Other Workers 3.0
E-Mail 2.8
Conflict Situations 2.8
Exposed to Minor Burns, Cuts, Bites, or Stings 2.8
Health and Safety of Other Workers 2.7
Level of Competition 2.6
Spend Time Bending or Twisting Your Body 2.5
Written Letters and Memos 2.3
Exposed to Disease or Infections 2.2
Spend Time Sitting 2.1
Spend Time Kneeling, Crouching, Stooping, or Crawling 2.1
Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 2.1
Exposed to Hazardous Equipment 2.1
Consequence of Error 2.0
Spend Time Keeping or Regaining Balance 1.7
Exposed to Cramped Work Space, Awkward Positions 1.6

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 56.4%
Some College Courses 14.6%
Post-Secondary Certificate 8.8%
Associate's Degree (or other 2-year degree) 6.5%
Less than a High School Diploma 4.8%
Bachelor's Degree 3.7%
Master's Degree 3.7%
First Professional Degree 1.4%

Interests & work styles

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

Career interests (Holland / RIASEC)

Realistic 6.4
Conventional 4.1
Investigative 2.9
Social 1.9
Artistic 1.7

Interest areas

Mechanics/Electronics 4.0
Physical/Manual Labor 3.4
Engineering 3.0
Construction/Woodwork 2.3
Mathematics/Statistics 2.0
Health Care Service 1.7
Physical Science 1.7
Medical Science 1.5

Work styles

Attention to Detail 3.0
Dependability 2.3
Cautiousness 2.0

Wages & employment

U.S. · annual wages (BLS OEWS)

$31k10th$36k25th$38kMedian$45k75th$55k90th
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.
20k202420k2034 (proj.)+2.3% · 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 $31,250
25th percentile $35,580
Median (50th) $38,420
75th percentile $45,410
90th percentile $55,480
People employed 18,740

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 7,780 $40,800
Health Care and Social Assistance · Sector 4,750 $38,370
Retail Trade · Sector 3,940 $35,970
Offices of Optometrists · National industry 2,590 $37,660
Wholesale Trade · Sector 1,800 $37,770
Administrative and Support and Waste Management and Remediation Services · Sector $40,040
Temporary Help Services · National industry $40,040

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 139.7× 2,590
Manufacturing · Sector 5.02× 7,780
Wholesale Trade · Sector 2.45× 1,800
Retail Trade · Sector 2.08× 3,940
Health Care and Social Assistance · Sector 1.69× 4,750

Part of the Healthcare & Human Services career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Ophthalmic Laboratory Technicians sits at the 22nd percentile of AI task-overlap and the 10th percentile of median pay, placed here against 12 adjacent occupations on the same two axes. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Ophthalmic Laboratory Technicians Timing Device Assemblers and Adjusters Molders, Shapers, and Casters, Except Metal and Plastic Welding, Soldering, and Brazing Machine Setters, Operators, and Tenders Tool Grinders, Filers, and Sharpeners Opticians, Dispensing Camera and Photographic Equipment Repairers 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 Laboratory Technicians — not advice or a forecast. Each is a real cross-link you can follow into the evidence.

Write a report on thisheadline · factoids · citation

Ophthalmic Laboratory Technicians show 22nd-percentile AI task overlap — and about 2,400 annual U.S. openings

  • Ophthalmic Laboratory Technicians rank in the 22nd 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 2,400 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 about average (+2.3%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $38,420, across about 18,740 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Ophthalmic Laboratory Technicians show 22nd-percentile AI task overlap — and about 2,400 annual U.S. openings

• Ophthalmic Laboratory Technicians rank in the 22nd 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 2,400 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 about average (+2.3%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $38,420, across about 18,740 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Ophthalmic Laboratory Technicians". https://singulariki.com/roles/role-51-9083-00
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 Laboratory 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/roles/role-51-9083-00

APA

Singulariki. (2026). Ophthalmic Laboratory Technicians. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-51-9083-00

BibTeX
@misc{singulariki-role-51-9083-00,
  title  = {Ophthalmic Laboratory 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/roles/role-51-9083-00}
}

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

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