# Agricultural Inspectors

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

- **SOC code:** 45-2011.00
- **Canonical URL:** https://singulariki.com/roles/role-45-2011-00
- **Also known as:** 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
- **Frame:** "AI exposure" means task overlap (how codifiable the work is), not jobs lost or a forecast. Every figure below is traced to a named public dataset.

## What this work is

**Core tasks** (O*NET):
- Inspect food products and processing procedures to determine whether products are safe to eat.
- Inspect agricultural commodities or related operations, as well as fish or logging operations, for compliance with laws and regulations governing health, quality, and safety.
- Label and seal graded products and issue official grading certificates.
- Monitor the operations and sanitary conditions of slaughtering or meat processing plants.
- Take emergency actions, such as closing production facilities, if product safety is compromised.
- Interpret and enforce government acts and regulations and explain required standards to agricultural workers.
- Verify that transportation and handling procedures meet regulatory requirements.
- Inspect the cleanliness and practices of establishment employees.
- Examine, weigh, and measure commodities, such as poultry, eggs, meat, or seafood to certify qualities, grades, and weights.
- Inspect or test horticultural products or livestock to detect harmful diseases, chemical residues, or infestations and to determine the quality of products or animals.
- Monitor the grading performed by company employees to verify conformance to standards.
- Write reports of findings and recommendations and advise farmers, growers, or processors of corrective action to be taken.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Quality Control Analysis _(transferable_skill)_
- Problem Sensitivity _(ability)_
- Oral Comprehension _(ability)_
- Deductive Reasoning _(ability)_
- Inductive Reasoning _(ability)_
- Near Vision _(ability)_
- Reading Comprehension _(essential_skill)_
- Active Listening _(essential_skill)_
- Monitoring _(essential_skill)_
- Oral Expression _(ability)_
- Critical Thinking _(essential_skill)_
- Written Comprehension _(ability)_

**Skills in demand:**
- Inductive Reasoning _(Common Skill)_
- Deductive Reasoning _(Common Skill)_
- Reading Comprehension _(Common Skill)_
- Active Listening _(Common Skill)_
- Critical Thinking _(Common Skill)_
- Microsoft Excel _(Common Skill)_
- Speech Recognition _(Specialized Skill)_
- Active Learning _(Common Skill)_
- Mathematics _(Common Skill)_
- English Language _(Common Skill)_
- Writing _(Common Skill)_
- Systems Analysis _(Specialized Skill)_

**Tools & technology:**
- Microsoft Excel _(hot technology, in demand)_
- Microsoft Office software _(hot technology, in demand)_
- Microsoft Access _(hot technology)_
- Microsoft Outlook _(hot technology)_
- Microsoft PowerPoint _(hot technology)_
- Microsoft Word _(hot technology)_
- Image processing software
- Microsoft Internet Explorer
- Operational databases

## AI exposure & outlook

- **AI task-overlap index:** 39th percentile (Moderate) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 53rd percentile (Moderate) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 44th percentile (Moderate) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 26th percentile (Low) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 86th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** no — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 1.5% growth (About average); 2.2k annual openings; 14.7k → 14.9k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $50,990; 12,090 employed.

## Sources

- **O*NET** (30.3) — U.S. Department of Labor / National Center for O*NET Development. https://www.onetcenter.org/database.html
- **BLS Occupational Employment and Wage Statistics (OEWS)** (May 2024) — U.S. Bureau of Labor Statistics. https://www.bls.gov/oes/
- **BLS Employment Projections** (2024–2034) — U.S. Bureau of Labor Statistics. https://www.bls.gov/emp/
- **Anthropic Economic Index** (v4 (2026-01-15) + v2 (2025-03-27)) — Anthropic. https://www.anthropic.com/economic-index
- **Microsoft “Working with AI”** (working-with-ai) — Microsoft Research. https://www.microsoft.com/en-us/research/
- **“GPTs are GPTs” (Eloundou et al.)** (arXiv 2303.10130) — OpenAI / academic. https://arxiv.org/abs/2303.10130
- **AI Occupational Exposure (AIOE)** (Felten, Raj & Seamans) — academic. https://github.com/AIOE-Data/AIOE
- **Frey & Osborne (2013)** (frey-osborne-automation) — academic. https://www.oxfordmartin.ox.ac.uk/publications/the-future-of-employment/
- **Dingel & Neiman (2020)** (dingel-neiman-workathome) — academic. https://github.com/jdingel/DingelNeiman-workathome

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_Generated from Singulariki's joined dataset; data snapshot 2026-06-02T21:00:32.945303+00:00. https://singulariki.com/roles/role-45-2011-00_