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Agricultural Inspectors

Occupation · SOC 45-2011.00

Inspect agricultural commodities, processing equipment, and facilities, and fish and logging operations, to ensure compliance with regulations and laws governing health, quality, and safety.

Also called: Brand Inspector · Consumer Safety Inspector (CSI) · Grain Inspector · Inspector · Food Inspector · Food Safety and Inspection Service Inspector (FSIS Inspector) · Food Sanitarian · Seed and Fertilizer Specialist · Shipping Point Inspector · Agricultural Commodities Inspector · Agricultural Commodity Grader · Agricultural Inspector

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-45-2011-00/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.

39th-percentile task overlap — yet about 2,200 openings a year (+1.5% 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 53rd 0.2
LLM task exposure, γ (OpenAI / Eloundou) Moderate 44th 0.5
AI assistant applicability (Microsoft) Low 26th 0.1

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.1), with simple added tooling (β 0.3), and including AI-powered software (γ 0.5). 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.

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 0.9 · 86th 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.

Write reports of findings and recommendations and advise farmers, growers, or processors of corrective action to be taken. 0.4%
Inspect food products and processing procedures to determine whether products are safe to eat. 0.3%
Verify that transportation and handling procedures meet regulatory requirements. 0.2%

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 · +1.5% by 2034
Projected annual openings 2,200
Employment 2024 → 2034 14,700 → 14,900

“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 3 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.

28% mean task exposure (2025)
54th percentile of 427 placed occupations
−5 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Government Regulatory AssociatePprofessionals Not Elsewhere Classified · 3359 36% Minimal
Food and Beverage Tasters and Graders · 7515 31% Minimal
Environmental and Occupational Health Inspectors and Associates · 3257 24% 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.

Work activities

Knowledge, skills & abilities

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

Transferable skills

Quality Control Analysis 4.1
Operations Monitoring 3.3
Judgment and Decision Making 3.3
Coordination 3.1
Complex Problem Solving 3.1
Systems Analysis 3.1
Systems Evaluation 3.1
Instructing 3.0

Abilities

Problem Sensitivity 4.0
Oral Comprehension 3.9
Deductive Reasoning 3.9
Inductive Reasoning 3.9
Near Vision 3.9
Oral Expression 3.8
Written Comprehension 3.6
Flexibility of Closure 3.5
Far Vision 3.5
Speech Clarity 3.5
Perceptual Speed 3.3
Speech Recognition 3.3
Written Expression 3.1
Information Ordering 3.1
Category Flexibility 3.1
Speed of Closure 3.1
Selective Attention 3.0
Auditory Attention 3.0

Essential skills

Reading Comprehension 3.8
Active Listening 3.8
Monitoring 3.8
Critical Thinking 3.6
Speaking 3.5
Active Learning 3.3
Writing 3.1

Knowledge

Customer and Personal Service 3.5
Administration and Management 3.4
Law and Government 3.3
Administrative 3.3
Mathematics 3.2
Public Safety and Security 3.2
English Language 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
Microsoft Excel Spreadsheet software Hot technology In demand
Microsoft Office software Office suite software Hot technology In demand
Microsoft Access Data base user interface and query software Hot technology
Microsoft Outlook Electronic mail software Hot technology
Microsoft PowerPoint Presentation software Hot technology
Microsoft Word Word processing software Hot technology
Image processing software Graphics or photo imaging software
Microsoft Internet Explorer Internet browser software
Operational databases 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.

Importance of Being Exact or Accurate 4.6
Contact With Others 4.6
Face-to-Face Discussions with Individuals and Within Teams 4.3
Deal With External Customers or the Public in General 4.3
Impact of Decisions on Co-workers or Company Results 4.2
Freedom to Make Decisions 4.2
Exposed to Contaminants 4.1
Telephone Conversations 4.0
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 4.0
Work With or Contribute to a Work Group or Team 4.0
Determine Tasks, Priorities and Goals 4.0
Indoors, Environmentally Controlled 3.9
Frequency of Decision Making 3.9
Outdoors, Exposed to All Weather Conditions 3.9
Importance of Repeating Same Tasks 3.9
Time Pressure 3.9
Indoors, Not Environmentally Controlled 3.8
Physical Proximity 3.7
Exposed to Very Hot or Cold Temperatures 3.7
Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 3.7
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 3.6
Spend Time Standing 3.6
Coordinate or Lead Others in Accomplishing Work Activities 3.6
E-Mail 3.6
Health and Safety of Other Workers 3.4
Work Outcomes and Results of Other Workers 3.4
Spend Time Making Repetitive Motions 3.4
Outdoors, Under Cover 3.3
Spend Time Walking or Running 3.3
Dealing With Unpleasant, Angry, or Discourteous People 3.2
Consequence of Error 3.1
Spend Time Bending or Twisting Your Body 3.1
Written Letters and Memos 2.8
Pace Determined by Speed of Equipment 2.8
Conflict Situations 2.8
Spend Time Sitting 2.7
Exposed to Minor Burns, Cuts, Bites, or Stings 2.7
In an Enclosed Vehicle or Operate Enclosed Equipment 2.7
Level of Competition 2.5
Exposed to Extremely Bright or Inadequate Lighting Conditions 2.5

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
Bachelor's degree · 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 . 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 56.2%
Some College Courses 12.5%
Associate's Degree (or other 2-year degree) 12.2%
Bachelor's Degree 10.3%
Less than a High School Diploma 7.0%
First Professional Degree 1.8%

Interests & work styles

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

Career interests (Holland / RIASEC)

Realistic 5.3
Conventional 5.2
Investigative 4.0
Enterprising 3.1

Interest areas

Agriculture 4.2
Law 3.2
Protective Service 3.1
Life Science 2.7
Nature/Outdoors 2.5
Mathematics/Statistics 2.3
Management/Administration 2.2
Physical/Manual Labor 2.1

Work styles

Dependability 4.0
Attention to Detail 3.0
Integrity 2.5
Cautiousness 2.2

Wages & employment

U.S. · annual wages (BLS OEWS)

$37k10th$43k25th$51kMedian$65k75th$80k90th
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.
15k202415k2034 (proj.)+1.5% · 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 $37,440
25th percentile $42,740
Median (50th) $50,990
75th percentile $64,960
90th percentile $80,240
People employed 12,090

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 980 $45,670
Wholesale Trade · Sector 870 $55,970
Professional, Scientific, and Technical Services · Sector 590 $47,330
Agriculture, Forestry, Fishing and Hunting · Sector 500 $41,180
Transportation and Warehousing · Sector 170 $51,900
Other Services (except Public Administration) · Sector 130 $44,360
Administrative and Support and Waste Management and Remediation Services · Sector 110 $90,340
Testing Laboratories and Services · National industry 80 $47,400
Educational Services · Sector 80 $52,460
Temporary Help Services · National industry 40 $37,440

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 15.06× 500
Wholesale Trade · Sector 1.84× 870
Manufacturing · Sector 0.98× 980
Professional, Scientific, and Technical Services · Sector 0.7× 590
Other Services (except Public Administration) · Sector 0.37× 130
Transportation and Warehousing · Sector 0.29× 170
Administrative and Support and Waste Management and Remediation Services · Sector 0.16× 110

Part of the Agriculture career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Agricultural Inspectors sits at the 39th percentile of AI task-overlap and the 35th 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 Agricultural Inspectors Graders and Sorters, Agricultural Products First-Line Supervisors of Farming, Fishing, and Forestry Workers Weighers, Measurers, Checkers, and Samplers, Recordkeeping Inspectors, Testers, Sorters, Samplers, and Weighers Aviation Inspectors Construction and Building Inspectors Food Scientists and Technologists 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 Agricultural Inspectors — 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 54th percentile of 427 international occupations.

Write a report on thisheadline · factoids · citation

Agricultural Inspectors show 39th-percentile AI task overlap — and about 2,200 annual U.S. openings

  • Agricultural Inspectors rank in the 39th 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 2,200 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 (+1.5%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $50,990, across about 12,090 U.S. workers.BLS OEWS (May 2024)
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Agricultural Inspectors show 39th-percentile AI task overlap — and about 2,200 annual U.S. openings

• Agricultural Inspectors rank in the 39th 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 2,200 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 (+1.5%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $50,990, across about 12,090 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Agricultural Inspectors". https://singulariki.com/roles/role-45-2011-00
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. "Agricultural Inspectors." 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-45-2011-00

APA

Singulariki. (2026). Agricultural Inspectors. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-45-2011-00

BibTeX
@misc{singulariki-role-45-2011-00,
  title  = {Agricultural Inspectors},
  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-45-2011-00}
}

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

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