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Animal Caretakers

Occupation · SOC 39-2021.00

Feed, water, groom, bathe, exercise, or otherwise provide care to promote and maintain the well-being of pets and other animals that are not raised for consumption, such as dogs, cats, race horses, ornamental fish or birds, zoo animals, and mice. Work in settings such as kennels, animal shelters, zoos, circuses, and aquariums. May keep records of feedings, treatments, and animals received or discharged. May clean, disinfect, and repair cages, pens, or fish tanks.

Also called: Aquarist · Dog Groomer · Groomer · Kennel Technician (Kennel Tech) · Animal Care Giver (ACG) · Dog Bather · Kennel Attendant · Pet Groomer · Pet Stylist · Zookeeper · Animal Care Attendant · Animal Care Service Worker

Job family: Personal Care and Service Occupations

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Download .md

A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-39-2021-00/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.

45th-percentile task overlap — yet about 74,600 openings a year (+12.1% 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.) Low 21st -0.9
LLM task exposure, γ (OpenAI / Eloundou) Moderate 36th 0.4
AI assistant applicability (Microsoft) High 80th 0.2

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.2), with simple added tooling (β 0.3), and including AI-powered software (γ 0.4). 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 0.8 · 66th percentile among occupations · Moderate

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.

Respond to questions from patrons, and provide information about animals, such as behavior, habitat, breeding habits, or facility activities. 0.3%

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 · +12.1% by 2034
Projected annual openings 74,600
Employment 2024 → 2034 392,100 → 439,600

“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)
14th percentile of 427 placed occupations
−1 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Pet Groomers and Animal Care Workers · 5164 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 22 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.

  • Scuba dive in aquariums to perform exhibit maintenance.
  • Train volunteers and facility staff.

Work activities

Knowledge, skills & abilities

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

Knowledge

Customer and Personal Service 4.2
Administrative 3.1
English Language 3.1
Education and Training 2.6
Administration and Management 2.5
Psychology 2.5

Abilities

Oral Comprehension 3.3
Oral Expression 3.1
Problem Sensitivity 3.1
Information Ordering 3.1
Static Strength 3.1
Near Vision 3.1
Deductive Reasoning 3.0
Inductive Reasoning 3.0
Trunk Strength 3.0
Speech Recognition 3.0
Speech Clarity 3.0
Written Comprehension 2.9
Arm-Hand Steadiness 2.9
Extent Flexibility 2.9
Far Vision 2.9
Manual Dexterity 2.8
Stamina 2.8
Category Flexibility 2.6
Flexibility of Closure 2.6
Selective Attention 2.6
Finger Dexterity 2.6
Written Expression 2.5

Essential skills

Monitoring 3.1
Reading Comprehension 3.0
Active Listening 3.0
Speaking 2.9
Writing 2.8
Critical Thinking 2.8

Transferable skills

Coordination 3.0
Service Orientation 3.0
Judgment and Decision Making 3.0
Social Perceptiveness 2.8
Complex Problem Solving 2.6
Time Management 2.5

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 Access Data base user interface and query 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 PowerPoint Presentation software Hot technology
Microsoft Word Word processing software Hot technology
CEEJS The Pet Groomer's Secretary Data base user interface and query software
DaySmart Software 123Pet Data base user interface and query software
DaySmart Software Appointment-Plus Calendar and scheduling software
Envision Pet Grooming Data base user interface and query software
Groom Pro Calendar and scheduling software
Groomsoft Data base user interface and query software
K9 Bytes K9 Koordinator Data base user interface and query software
Kennel Link Data base user interface and query software
Mobile Dog Grooming Software mGroomer Calendar and scheduling software
Petschedule Calendar and scheduling software
The Groomer's Write Hand Data base user interface and query 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.

Face-to-Face Discussions with Individuals and Within Teams 4.9
Indoors, Environmentally Controlled 4.8
Contact With Others 4.8
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 4.6
Work With or Contribute to a Work Group or Team 4.6
Spend Time Standing 4.3
Frequency of Decision Making 4.2
Outdoors, Exposed to All Weather Conditions 4.0
Telephone Conversations 4.0
Exposed to Contaminants 3.9
Exposed to Minor Burns, Cuts, Bites, or Stings 3.9
Impact of Decisions on Co-workers or Company Results 3.9
Determine Tasks, Priorities and Goals 3.8
Physical Proximity 3.6
Freedom to Make Decisions 3.6
Deal With External Customers or the Public in General 3.6
Exposed to Disease or Infections 3.6
Importance of Being Exact or Accurate 3.5
Spend Time Walking or Running 3.5
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 3.5
E-Mail 3.4
Coordinate or Lead Others in Accomplishing Work Activities 3.4
Consequence of Error 3.3
Time Pressure 3.3
Spend Time Bending or Twisting Your Body 3.3
Dealing With Unpleasant, Angry, or Discourteous People 3.2
Conflict Situations 3.2
Health and Safety of Other Workers 3.2
Importance of Repeating Same Tasks 3.1
Spend Time Making Repetitive Motions 3.1
Written Letters and Memos 3.1
In an Enclosed Vehicle or Operate Enclosed Equipment 3.1
Exposed to Very Hot or Cold Temperatures 3.0
Work Outcomes and Results of Other Workers 3.0
Exposed to Cramped Work Space, Awkward Positions 2.9
Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 2.9
Indoors, Not Environmentally Controlled 2.9
Spend Time Kneeling, Crouching, Stooping, or Crawling 2.7
Outdoors, Under Cover 2.7
Exposed to Hazardous Conditions 2.3

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: Agriculture, Agriculture Operations, and Related Sciences , Multi/Interdisciplinary Studies . 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 63.5%
Associate's Degree (or other 2-year degree) 13.6%
Bachelor's Degree 13.4%
Less than a High School Diploma 9.5%

Interests & work styles

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

Interest areas

Animal Service 6.8
Physical/Manual Labor 4.7
Health Care Service 3.0
Personal Service 2.6
Life Science 2.6
Nature/Outdoors 2.2
Social Service 2.1
Teaching/Education 2.1
Agriculture 1.9

Career interests (Holland / RIASEC)

Realistic 6.2
Social 3.8
Conventional 3.3
Investigative 2.8

Work styles

Dependability 2.3
Cooperation 2.0
Attention to Detail 1.9

Wages & employment

U.S. · annual wages (BLS OEWS)

$25k10th$29k25th$33kMedian$37k75th$46k90th
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.
392k2024440k2034 (proj.)+12.1% · 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 $24,500
25th percentile $28,870
Median (50th) $33,470
75th percentile $37,160
90th percentile $46,480
People employed 277,300

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
Other Services (except Public Administration) · Sector 154,470 $33,280
Professional, Scientific, and Technical Services · Sector 41,030 $30,550
Retail Trade · Sector 39,800 $32,050
Veterinary Services · National industry 38,390 $30,000
Arts, Entertainment, and Recreation · Sector 19,510 $35,700
Agriculture, Forestry, Fishing and Hunting · Sector 6,560 $34,930
Educational Services · Sector 2,780 $38,070
Administrative and Support and Waste Management and Remediation Services · Sector 1,350 $38,070
Health Care and Social Assistance · Sector 1,070 $38,160
Wholesale Trade · Sector 780 $36,190
Accommodation and Food Services · Sector 720 $36,230
Temporary Help Services · National industry 590 $32,240

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
Veterinary Services · National industry 46.03× 38,390
Other Services (except Public Administration) · Sector 19.4× 154,470
Agriculture, Forestry, Fishing and Hunting · Sector 8.62× 6,560
Arts, Entertainment, and Recreation · Sector 4.11× 19,510
Professional, Scientific, and Technical Services · Sector 2.12× 41,030
Retail Trade · Sector 1.42× 39,800
Theater Companies and Dinner Theaters · National industry 1.23× 160
Offices of Physical, Occupational and Speech Therapists, and Audiologists · National industry 0.19× 160

Part of the Agriculture career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Animal Caretakers sits at the 45th percentile of AI task-overlap and the 1st 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 Animal Caretakers Nursing Assistants Veterinary Assistants and Laboratory Animal Caretakers Veterinary Technologists and Technicians Animal Breeders Veterinarians Animal Scientists 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 Animal Caretakers — 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 14th percentile of 427 international occupations.

Write a report on thisheadline · factoids · citation

Animal Caretakers show 45th-percentile AI task overlap — and about 74,600 annual U.S. openings

  • Animal Caretakers rank in the 45th 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 74,600 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 (+12.1%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $33,470, across about 277,300 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Animal Caretakers show 45th-percentile AI task overlap — and about 74,600 annual U.S. openings

• Animal Caretakers rank in the 45th 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 74,600 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 (+12.1%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $33,470, across about 277,300 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Animal Caretakers". https://singulariki.com/roles/role-39-2021-00
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. "Animal Caretakers." 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-39-2021-00

APA

Singulariki. (2026). Animal Caretakers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-39-2021-00

BibTeX
@misc{singulariki-role-39-2021-00,
  title  = {Animal Caretakers},
  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-39-2021-00}
}

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

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