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Farm Labor Contractors

Occupation · SOC 13-1074.00

Recruit and hire seasonal or temporary agricultural laborers. May transport, house, and provide meals for workers.

Also called: Farm Labor Contractor · Field Manager · Field Supervisor · Farm Contractor · Farm Crew Leader · Farm Crew Member · Farm Sanitation Employee · Field Contractor · Field Crop Harvest Contractor · Harvest Contractor · Harvesting Contractor

Job family: Business and Financial Operations Occupations

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Download .md

A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-13-1074-00/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 300 openings a year (+6% 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 37th -0.4
LLM task exposure, γ (OpenAI / Eloundou) Low 31st 0.3
AI assistant applicability (Microsoft) Low 7th 0.0

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 0.3). 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

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 · +6.0% by 2034
Projected annual openings 300
Employment 2024 → 2034 3,900 → 4,200

“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.

39% mean task exposure (2025)
75th percentile of 427 placed occupations
−6 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Employment agents and contractors · 3333 39% Minimal

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 8 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

Oral Comprehension 3.6
Oral Expression 3.5
Speech Clarity 3.4
Speech Recognition 3.3
Problem Sensitivity 3.1
Near Vision 3.0
Written Comprehension 2.9
Written Expression 2.9
Deductive Reasoning 2.9
Information Ordering 2.9
Control Precision 2.9
Multilimb Coordination 2.9
Inductive Reasoning 2.8
Selective Attention 2.8

Knowledge

Foreign Language 3.5
Food Production 3.5
Mathematics 3.5
Personnel and Human Resources 3.4
Production and Processing 3.3
Law and Government 3.2
Customer and Personal Service 3.0
Administration and Management 2.8
English Language 2.8
Public Safety and Security 2.8
Economics and Accounting 2.7
Mechanical 2.7
Education and Training 2.6

Essential skills

Speaking 3.5
Active Listening 3.4
Critical Thinking 3.0
Reading Comprehension 2.8
Writing 2.8
Monitoring 2.8

Transferable skills

Management of Personnel Resources 3.3
Time Management 3.1
Social Perceptiveness 3.0
Coordination 3.0
Judgment and Decision Making 3.0
Negotiation 2.8
Complex Problem Solving 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
Facebook Web page creation and editing software Hot technology
Intuit QuickBooks Accounting software Hot technology
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 SharePoint Document management software Hot technology
Microsoft Word Word processing software Hot technology
SAP software Enterprise resource planning ERP software Hot technology
Bookkeeping software Accounting software
E-Verify Data base user interface and query software
Financial accounting software Accounting 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.

Determine Tasks, Priorities and Goals 5.0
Freedom to Make Decisions 4.8
Work Outcomes and Results of Other Workers 4.6
Health and Safety of Other Workers 4.6
Telephone Conversations 4.5
Face-to-Face Discussions with Individuals and Within Teams 4.5
Contact With Others 4.5
Importance of Repeating Same Tasks 4.5
Time Pressure 4.5
Coordinate or Lead Others in Accomplishing Work Activities 4.4
Importance of Being Exact or Accurate 4.3
Impact of Decisions on Co-workers or Company Results 4.2
Outdoors, Exposed to All Weather Conditions 4.2
In an Enclosed Vehicle or Operate Enclosed Equipment 4.1
Spend Time Sitting 3.9
Frequency of Decision Making 3.9
Level of Competition 3.8
Written Letters and Memos 3.7
Work With or Contribute to a Work Group or Team 3.7
Physical Proximity 3.6
Exposed to Contaminants 3.5
Exposed to Very Hot or Cold Temperatures 3.5
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 3.3
E-Mail 3.1
Indoors, Not Environmentally Controlled 2.9
Conflict Situations 2.9
Outdoors, Under Cover 2.9
Spend Time Standing 2.9
Spend Time Walking or Running 2.8
Indoors, Environmentally Controlled 2.8
Dealing With Unpleasant, Angry, or Discourteous People 2.8
Deal With External Customers or the Public in General 2.6
In an Open Vehicle or Operating Equipment 2.5
Exposed to Hazardous Equipment 2.5
Pace Determined by Speed of Equipment 2.5
Consequence of Error 2.5
Exposed to Extremely Bright or Inadequate Lighting Conditions 2.5
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 2.4
Exposed to Minor Burns, Cuts, Bites, or Stings 2.4
Degree of Automation 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.

Some College Courses 8.9%
Associate's Degree (or other 2-year degree) 0.1%
Master's Degree 0.1%

Interests & work styles

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

Interest areas

Management/Administration 5.2
Human Resources 4.3
Agriculture 4.1
Transportation/Machine Operation 2.7
Nature/Outdoors 2.5
Physical/Manual Labor 2.2
Law 2.2
Accounting 2.1
Business Initiatives 2.0
Public Speaking 1.9

Career interests (Holland / RIASEC)

Enterprising 5.0
Realistic 4.8
Conventional 4.4
Social 3.2

Work styles

Leadership Orientation 2.5
Dependability 2.3

Wages & employment

U.S. · annual wages (BLS OEWS)

$30k10th$33k25th$49kMedian$58k75th$87k90th
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.
4k20244k2034 (proj.)+6.0% · 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 $29,800
25th percentile $32,860
Median (50th) $48,690
75th percentile $58,250
90th percentile $86,860
People employed 410

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 360 $49,500

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 319.77× 360

Part of the Agriculture career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Farm Labor Contractors sits at the 22nd percentile of AI task-overlap and the 30th percentile of median pay, placed here against 9 adjacent occupations on the same two axes. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Farm Labor Contractors First-Line Supervisors of Farming, Fishing, and Forestry Workers First-Line Supervisors of Landscaping, Lawn Service, and Groundskeeping Workers Farmers, Ranchers, and Other Agricultural Managers Agricultural Inspectors Industrial Production Managers First-Line Supervisors of Production and Operating Workers General and Operations Managers First-Line Supervisors of Entertainment and Recreation Workers, Except Gambling Services 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 Farm Labor Contractors — 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.

Adjacent roles

Occupations O*NET rates as related — the nearby moves on the map.

Paths in

How people typically prepare for this work.

Zoom out

On the global GenAI exposure gradient this work sits around the 75th percentile of 427 international occupations.

Write a report on thisheadline · factoids · citation

Farm Labor Contractors show 22nd-percentile AI task overlap — and about 300 annual U.S. openings

  • Farm Labor Contractors 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 300 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 (+6%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $48,690, across about 410 U.S. workers.BLS OEWS (May 2024)
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Farm Labor Contractors show 22nd-percentile AI task overlap — and about 300 annual U.S. openings

• Farm Labor Contractors 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 300 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 (+6%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $48,690, across about 410 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Farm Labor Contractors". https://singulariki.com/roles/role-13-1074-00
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. "Farm Labor Contractors." 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; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-13-1074-00

APA

Singulariki. (2026). Farm Labor Contractors. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-13-1074-00

BibTeX 
@misc{singulariki-role-13-1074-00,
  title  = {Farm Labor Contractors},
  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; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
  url    = {https://singulariki.com/roles/role-13-1074-00}
}

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

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