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Farmworkers and Laborers, Crop, Nursery, and Greenhouse

Occupation · SOC 45-2092.00

Manually plant, cultivate, and harvest vegetables, fruits, nuts, horticultural specialties, and field crops. Use hand tools, such as shovels, trowels, hoes, tampers, pruning hooks, shears, and knives. Duties may include tilling soil and applying fertilizers; transplanting, weeding, thinning, or pruning crops; applying pesticides; or cleaning, grading, sorting, packing, and loading harvested products. May construct trellises, repair fences and farm buildings, or participate in irrigation activities.

Also called: Greenhouse Worker · Grower · Harvester · Nursery Worker · Farm Laborer · Farmer · Field Irrigation Worker · Gardener · Orchard Worker · Picker · Agriculture Laborer · Agriculture Worker

Job family: Farming, Fishing, and Forestry Occupations

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Download .md

A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-45-2092-00/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.

9th-percentile task overlap — yet about 71,700 openings a year (-3.3% 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 4th -1.6
LLM task exposure, γ (OpenAI / Eloundou) Low 26th 0.2
AI assistant applicability (Microsoft) Low 10th 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.

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.

Provide information and advice to the public regarding the selection, purchase, and care of products. 6.2%
Participate in the inspection, grading, sorting, storage, and post-harvest treatment of crops. 0.5%

Job outlook

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

Outlook Declining · -3.3% by 2034
Projected annual openings 71,700
Employment 2024 → 2034 504,800 → 488,100

“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 5 occupations below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.

11% mean task exposure (2025)
5th percentile of 427 placed occupations
+0 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Subsistence Crop Farmers · 6310 13% Not exposed
Subsistence Mixed Crop and Livestock Farmers · 6330 12% Not exposed
Garden and Horticultural Labourers · 9214 12% Not exposed
Mixed Crop and Livestock Farm Labourers · 9213 11% Not exposed
Crop Farm Labourers · 9211 9% 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 30 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).

Abilities

Trunk Strength 4.0
Arm-Hand Steadiness 3.9
Control Precision 3.9
Manual Dexterity 3.8
Multilimb Coordination 3.8
Extent Flexibility 3.8
Finger Dexterity 3.6
Static Strength 3.6
Rate Control 3.5
Dynamic Strength 3.5
Stamina 3.5
Near Vision 3.5
Explosive Strength 3.4
Oral Expression 3.3
Reaction Time 3.3
Oral Comprehension 3.1
Gross Body Coordination 3.1
Far Vision 3.1
Problem Sensitivity 3.0
Deductive Reasoning 3.0
Gross Body Equilibrium 3.0
Speech Recognition 3.0
Speech Clarity 3.0
Written Expression 2.9
Inductive Reasoning 2.9
Category Flexibility 2.9
Information Ordering 2.8

Essential skills

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

Transferable skills

Operations Monitoring 3.0
Social Perceptiveness 2.8
Operation and Control 2.8
Repairing 2.8
Time Management 2.8

Knowledge

Food Production 2.8
Biology 2.8

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
BCL Landview Systems WinCrop Data base user interface and query software
Farm Works Software Trac Data base user interface and query software
Global positioning system GPS software Mobile location based services software
IBM Lotus Notes Electronic mail 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.

Face-to-Face Discussions with Individuals and Within Teams 4.6
Outdoors, Exposed to All Weather Conditions 4.5
Spend Time Making Repetitive Motions 4.0
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 3.9
Exposed to Very Hot or Cold Temperatures 3.8
Time Pressure 3.7
Spend Time Standing 3.6
Spend Time Bending or Twisting Your Body 3.6
Spend Time Walking or Running 3.6
Contact With Others 3.5
Work With or Contribute to a Work Group or Team 3.4
Determine Tasks, Priorities and Goals 3.3
Importance of Being Exact or Accurate 3.3
Exposed to Minor Burns, Cuts, Bites, or Stings 3.2
Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 3.1
Freedom to Make Decisions 3.0
Physical Proximity 3.0
Health and Safety of Other Workers 3.0
Exposed to Contaminants 3.0
Indoors, Not Environmentally Controlled 3.0
In an Open Vehicle or Operating Equipment 2.9
In an Enclosed Vehicle or Operate Enclosed Equipment 2.9
Spend Time Kneeling, Crouching, Stooping, or Crawling 2.9
Impact of Decisions on Co-workers or Company Results 2.9
Work Outcomes and Results of Other Workers 2.8
Pace Determined by Speed of Equipment 2.8
Coordinate or Lead Others in Accomplishing Work Activities 2.8
Outdoors, Under Cover 2.7
Exposed to Hazardous Equipment 2.6
Consequence of Error 2.6
Level of Competition 2.6
Dealing With Unpleasant, Angry, or Discourteous People 2.5
Frequency of Decision Making 2.4
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 2.4
Deal With External Customers or the Public in General 2.4
Telephone Conversations 2.4
Exposed to High Places 2.2
Importance of Repeating Same Tasks 2.2
Indoors, Environmentally Controlled 2.2
Exposed to Extremely Bright or Inadequate Lighting Conditions 2.2

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
No formal educational credential · 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.

Education of current workers

Share of people in this occupation at each level of education.

Less than a High School Diploma 39.0%
High School Diploma 28.5%
Bachelor's Degree 15.3%
Some College Courses 5.3%
Master's Degree 5.1%
First Professional Degree 3.0%
Associate's Degree (or other 2-year degree) 2.0%
Post-Baccalaureate Certificate 1.5%

Interests & work styles

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

Career interests (Holland / RIASEC)

Realistic 7.0
Conventional 3.4
Enterprising 2.4
Investigative 2.3
Social 1.9

Interest areas

Agriculture 7.0
Physical/Manual Labor 6.6
Nature/Outdoors 5.5
Transportation/Machine Operation 4.2
Mechanics/Electronics 2.2
Life Science 2.1
Construction/Woodwork 1.6
Management/Administration 1.6

Work styles

Dependability 2.3
Perseverance 1.7
Attention to Detail 1.6

Wages & employment

U.S. · annual wages (BLS OEWS)

$32k10th$34k25th$36kMedian$39k75th$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.
505k2024488k2034 (proj.)-3.3% · Declining
Projected U.S. employment, 2024–2034 (BLS Employment Projections). A labor-market forecast for the occupation, not an AI-impact forecast.
10th percentile $32,260
25th percentile $34,280
Median (50th) $35,690
75th percentile $38,950
90th percentile $46,370
People employed 261,690

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
Agriculture, Forestry, Fishing and Hunting · Sector 195,350 $35,540
Wholesale Trade · Sector 21,260 $36,200
Retail Trade · Sector 20,390 $36,060
Administrative and Support and Waste Management and Remediation Services · Sector 8,110 $36,940
Manufacturing · Sector 6,840 $39,310
Temporary Help Services · National industry 3,680 $35,400
Landscaping Services · National industry 2,880 $37,410
Professional, Scientific, and Technical Services · Sector 2,670 $40,080
Other Services (except Public Administration) · Sector 1,330 $35,660
Educational Services · Sector 1,190 $37,800
Health Care and Social Assistance · Sector 1,100 $33,760
Arts, Entertainment, and Recreation · Sector 710 $37,790

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
Agriculture, Forestry, Fishing and Hunting · Sector 271.86× 195,350
Wholesale Trade · Sector 2.08× 21,260
Landscaping Services · National industry 1.85× 2,880
Temporary Help Services · National industry 0.82× 3,680
Retail Trade · Sector 0.77× 20,390
Administrative and Support and Waste Management and Remediation Services · Sector 0.53× 8,110
Manufacturing · Sector 0.32× 6,840
Other Services (except Public Administration) · Sector 0.18× 1,330

Part of the Agriculture career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Farmworkers and Laborers, Crop, Nursery, and Greenhouse sits at the 9th percentile of AI task-overlap and the 5th 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 Farmworkers and Laborers, Crop, Nursery, and Greenhouse Landscaping and Groundskeeping Workers Tree Trimmers and Pruners Fallers Agricultural Equipment Operators Farmers, Ranchers, and Other Agricultural Managers Soil and Plant 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 Farmworkers and Laborers, Crop, Nursery, and Greenhouse — 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 5th percentile of 427 international occupations.

Write a report on thisheadline · factoids · citation

Farmworkers and Laborers, Crop, Nursery, and Greenhouse show 9th-percentile AI task overlap — and about 71,700 annual U.S. openings

  • Farmworkers and Laborers, Crop, Nursery, and Greenhouse rank in the 9th 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 71,700 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 declining (-3.3%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $35,690, across about 261,690 U.S. workers.BLS OEWS (May 2024)
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Farmworkers and Laborers, Crop, Nursery, and Greenhouse show 9th-percentile AI task overlap — and about 71,700 annual U.S. openings

• Farmworkers and Laborers, Crop, Nursery, and Greenhouse rank in the 9th 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 71,700 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 declining (-3.3%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $35,690, across about 261,690 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Farmworkers and Laborers, Crop, Nursery, and Greenhouse". https://singulariki.com/roles/role-45-2092-00
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. "Farmworkers and Laborers, Crop, Nursery, and Greenhouse." 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-45-2092-00

APA

Singulariki. (2026). Farmworkers and Laborers, Crop, Nursery, and Greenhouse. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-45-2092-00

BibTeX
@misc{singulariki-role-45-2092-00,
  title  = {Farmworkers and Laborers, Crop, Nursery, and Greenhouse},
  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-45-2092-00}
}

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

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