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Magnetic Resonance Imaging Technologists

Occupation · SOC 29-2035.00

Operate Magnetic Resonance Imaging (MRI) scanners. Monitor patient safety and comfort, and view images of area being scanned to ensure quality of pictures. May administer gadolinium contrast dosage intravenously. May interview patient, explain MRI procedures, and position patient on examining table. May enter into the computer data such as patient history, anatomical area to be scanned, orientation specified, and position of entry.

Also called: MRI Coordinator (Magnetic Resonance Imaging Coordinator) · MRI QA Coordinator (Magnetic Resonance Imaging Quality Assurance Coordinator) · MRI Tech (Magnetic Resonance Imaging Technician) · MRI Technologist (Magnetic Resonance Imaging Technologist) · MRI Radiographer (Magnetic Resonance Imaging Radiographer) · MRI Specialist (Magnetic Resonance Imaging Specialist) · Research MRI Technologist (Research Magnetic Resonance Imaging Technologist) · Imaging Technologist · MRI Special Procedures Technologist (Magnetic Resonance Imaging Special Procedures Technologist) · Travel MRI Tech (Travel Magnetic Resonance Imaging Technician)

Job family: Healthcare Practitioners and Technical Occupations

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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.

37th-percentile task overlap — yet about 2,600 openings a year (+7.1% 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 47th -0.1
LLM task exposure, γ (OpenAI / Eloundou) Moderate 49th 0.6
AI assistant applicability (Microsoft) Low 22nd 0.1

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

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.

Write reports or notes to summarize testing procedures or outcomes for physicians or other medical professionals. 1.4%
Explain magnetic resonance imaging (MRI) procedures to patients, patient representatives, or family members. 0.4%

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 · +7.1% by 2034
Projected annual openings 2,600
Employment 2024 → 2034 44,100 → 47,200

“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.

22% mean task exposure (2025)
40th percentile of 427 placed occupations
+2 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Medical Imaging and Therapeutic Equipment Technicians · 3211 22% 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 23 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.

Work activities

Knowledge, skills & abilities

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

Knowledge

Customer and Personal Service 4.2
English Language 4.0
Physics 4.0
Computers and Electronics 3.6
Medicine and Dentistry 3.5
Public Safety and Security 3.5
Education and Training 3.4
Biology 3.0
Psychology 3.0

Abilities

Oral Comprehension 4.0
Oral Expression 4.0
Near Vision 4.0
Written Comprehension 3.9
Problem Sensitivity 3.6
Written Expression 3.5
Deductive Reasoning 3.3
Inductive Reasoning 3.3
Information Ordering 3.3
Control Precision 3.3
Speech Recognition 3.3
Speech Clarity 3.3
Category Flexibility 3.1
Flexibility of Closure 3.1
Perceptual Speed 3.1
Selective Attention 3.1
Arm-Hand Steadiness 3.1
Manual Dexterity 3.1
Finger Dexterity 3.1

Essential skills

Reading Comprehension 3.9
Active Listening 3.8
Monitoring 3.8
Speaking 3.6
Critical Thinking 3.4
Writing 3.1
Active Learning 3.1

Transferable skills

Operations Monitoring 3.6
Operation and Control 3.3
Social Perceptiveness 3.1
Service Orientation 3.1
Complex Problem Solving 3.1

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
eClinicalWorks EHR software Medical software Hot technology
MEDITECH software Medical software Hot technology
Microsoft Excel Spreadsheet software Hot technology
Microsoft Office software Office suite software Hot technology
Microsoft Word Word processing software Hot technology
Appointment scheduling software Calendar and scheduling software
Electronic medical record EMR software Medical software
GE Healthcare Centricity EMR Medical software
Medical image processing software Medical software
Radiology information systems (RIS) Medical software
Teleradiology systems 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.

Importance of Being Exact or Accurate 4.8
Indoors, Environmentally Controlled 4.7
Telephone Conversations 4.7
Health and Safety of Other Workers 4.7
Face-to-Face Discussions with Individuals and Within Teams 4.6
Contact With Others 4.6
E-Mail 4.5
Freedom to Make Decisions 4.3
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 4.3
Exposed to Disease or Infections 4.1
Determine Tasks, Priorities and Goals 4.0
Dealing With Unpleasant, Angry, or Discourteous People 4.0
Consequence of Error 4.0
Importance of Repeating Same Tasks 4.0
Physical Proximity 3.9
Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 3.9
Time Pressure 3.9
Work With or Contribute to a Work Group or Team 3.9
Spend Time Sitting 3.7
Pace Determined by Speed of Equipment 3.7
Impact of Decisions on Co-workers or Company Results 3.6
Frequency of Decision Making 3.6
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 3.6
Deal With External Customers or the Public in General 3.5
Work Outcomes and Results of Other Workers 3.4
Spend Time Making Repetitive Motions 3.4
Coordinate or Lead Others in Accomplishing Work Activities 3.3
Level of Competition 3.2
Conflict Situations 3.1
Written Letters and Memos 3.0
Spend Time Walking or Running 2.6
Degree of Automation 2.6
Spend Time Standing 2.6
Spend Time Bending or Twisting Your Body 2.6
Exposed to Hazardous Equipment 2.5
Dealing with Violent or Physically Aggressive People 2.3
Public Speaking 2.1
Spend Time Kneeling, Crouching, Stooping, or Crawling 2.0
Exposed to Hazardous Conditions 1.9
Exposed to Whole Body Vibration 1.8

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
Associate's degree · 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) 65.2%
Post-Secondary Certificate 13.0%
Bachelor's Degree 8.7%
High School Diploma 4.3%
Some College Courses 4.3%
Post-Baccalaureate Certificate 4.3%

Interests & work styles

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

Work styles

Dependability 6.0
Attention to Detail 5.0
Integrity 4.0
Cautiousness 3.0

Interest areas

Health Care Service 5.8
Mechanics/Electronics 4.0
Medical Science 3.7
Engineering 3.1
Physical Science 3.1
Life Science 2.8
Personal Service 2.7
Information Technology 2.5

Career interests (Holland / RIASEC)

Realistic 5.5
Conventional 4.9
Investigative 4.8
Social 3.5

Wages & employment

U.S. · annual wages (BLS OEWS)

$65k10th$78k25th$88kMedian$102k75th$121k90th
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.
44k202447k2034 (proj.)+7.1% · 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 $64,910
25th percentile $78,150
Median (50th) $88,180
75th percentile $102,440
90th percentile $121,420
People employed 41,530

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 40,020 $88,440
Administrative and Support and Waste Management and Remediation Services · Sector 670 $81,840
Temporary Help Services · National industry 470 $78,220
Educational Services · Sector 280 $94,410
Management of Companies and Enterprises · Sector 100
Real Estate and Rental and Leasing · Sector 30 $92,350
Professional, Scientific, and Technical Services · Sector $60,220
Offices of Chiropractors · National industry $75,510

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
Health Care and Social Assistance · Sector 6.43× 40,020
Temporary Help Services · National industry 0.66× 470
Administrative and Support and Waste Management and Remediation Services · Sector 0.28× 670
Management of Companies and Enterprises · Sector 0.13× 100
Educational Services · Sector 0.08× 280

Part of the Healthcare & Human Services career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Magnetic Resonance Imaging Technologists sits at the 37th percentile of AI task-overlap and the 76th percentile of median pay, placed here against 8 adjacent occupations on the same two axes. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Magnetic Resonance Imaging Technologists Respiratory Therapists Radiation Therapists Neurodiagnostic Technologists Nuclear Medicine 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 Magnetic Resonance Imaging Technologists — 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 40th percentile of 427 international occupations.

Write a report on thisheadline · factoids · citation

Magnetic Resonance Imaging Technologists show 37th-percentile AI task overlap — and about 2,600 annual U.S. openings

  • Magnetic Resonance Imaging Technologists rank in the 37th percentile (Moderate 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 2,600 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 (+7.1%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $88,180, across about 41,530 U.S. workers.BLS OEWS (May 2024)
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Magnetic Resonance Imaging Technologists show 37th-percentile AI task overlap — and about 2,600 annual U.S. openings

• Magnetic Resonance Imaging Technologists rank in the 37th percentile (Moderate 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 2,600 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 (+7.1%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $88,180, across about 41,530 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Magnetic Resonance Imaging Technologists". https://singulariki.com/roles/role-29-2035-00
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. "Magnetic Resonance Imaging Technologists." 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; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-29-2035-00

APA

Singulariki. (2026). Magnetic Resonance Imaging Technologists. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-29-2035-00

BibTeX
@misc{singulariki-role-29-2035-00,
  title  = {Magnetic Resonance Imaging Technologists},
  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; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
  url    = {https://singulariki.com/roles/role-29-2035-00}
}

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

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