# Tax Examiners and Collectors, and Revenue Agents

> Determine tax liability or collect taxes from individuals or business firms according to prescribed laws and regulations.

- **SOC code:** 13-2081.00
- **Canonical URL:** https://singulariki.com/roles/role-13-2081-00
- **Also known as:** Revenue Agent, Tax Collector, Tax Compliance Officer, Tax Examiner, City Tax Auditor, Collections Specialist, Revenue Collector, Revenue Officer
- **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):
- Collect taxes from individuals or businesses according to prescribed laws and regulations.
- Send notices to taxpayers when accounts are delinquent.
- Determine appropriate methods of debt settlement, such as offers of compromise, wage garnishment, or seizure and sale of property.
- Check tax forms to verify that names and taxpayer identification numbers are correct, that computations have been performed correctly, or that amounts match those on supporting documentation.
- Examine and analyze tax assets and liabilities to determine resolution of delinquent tax problems.
- Impose payment deadlines on delinquent taxpayers and monitor payments to ensure that deadlines are met.
- Confer with taxpayers or their representatives to discuss the issues, laws, and regulations involved in returns, and to resolve problems with returns.
- Notify taxpayers of any overpayment or underpayment, and either issue a refund or request further payment.
- Maintain records for each case, including contacts, telephone numbers, and actions taken.
- Direct service of legal documents, such as subpoenas, warrants, notices of assessment, and garnishments.
- Contact taxpayers by mail or telephone to address discrepancies and to request supporting documentation.
- Review filed tax returns to determine whether claimed tax credits and deductions are allowed by law.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Customer and Personal Service _(knowledge)_
- English Language _(knowledge)_
- Reading Comprehension _(essential_skill)_
- Active Listening _(essential_skill)_
- Speaking _(essential_skill)_
- Oral Comprehension _(ability)_
- Written Comprehension _(ability)_
- Oral Expression _(ability)_
- Deductive Reasoning _(ability)_
- Inductive Reasoning _(ability)_
- Information Ordering _(ability)_
- Critical Thinking _(essential_skill)_

**Skills in demand:**
- English Language _(Common Skill)_
- Reading Comprehension _(Common Skill)_
- Information Ordering _(Specialized Skill)_
- Inductive Reasoning _(Common Skill)_
- Deductive Reasoning _(Common Skill)_
- Active Listening _(Common Skill)_
- Mathematics _(Common Skill)_
- Critical Thinking _(Common Skill)_
- Speech Recognition _(Specialized Skill)_
- Microsoft PowerPoint _(Common Skill)_
- Microsoft Outlook _(Common Skill)_
- Microsoft Excel _(Common Skill)_

**Tools & technology:**
- Alteryx software _(hot technology, in demand)_
- Microsoft Excel _(hot technology, in demand)_
- Microsoft Office software _(hot technology, in demand)_
- Microsoft Outlook _(hot technology, in demand)_
- Microsoft PowerPoint _(hot technology, in demand)_
- SAP software _(hot technology, in demand)_
- Intuit QuickBooks _(hot technology)_
- Intuit TurboTax _(hot technology)_
- Microsoft Access _(hot technology)_
- Microsoft Power BI _(hot technology)_
- Microsoft Word _(hot technology)_
- Tax compliance property tax management software _(in demand)_

## AI exposure & outlook

- **AI task-overlap index:** 98th percentile (High) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 93rd percentile (High) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 89th percentile (High) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 96th percentile (High) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 84th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** no — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** -1.8% growth (Declining); 4.3k annual openings; 57.6k → 56.5k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $59,740; 53,530 employed.

## How people actually use AI here

Anthropic Economic Index — measured AI conversations mapped to this occupation's tasks:

- **Automation vs augmentation:** 8% automation, 65% augmentation (usage-weighted).
- **Autonomy median:** 3.0 (higher = AI acts more independently).
- **Dominant collaboration mode:** learning.

**Tasks most handed to AI here:**
- Maintain knowledge of tax code changes, and of accounting procedures and theory to properly evaluate financial information. _(0.9% of measured AI use; learning)_
- Install systems of recording costs or other financial and budgetary data or provide advice on such systems, based on examination of current financial records. _(0.7% of measured AI use; learning)_
- Answer questions from taxpayers and assist them in completing tax forms. _(0.5% of measured AI use; learning)_

**Example prompts (honest phrasings of the tasks above — starting points, not endorsed instructions):**
- Help me maintain knowledge of tax code changes, and of accounting procedures and theory to properly evaluate financial information.
- Help me install systems of recording costs or other financial and budgetary data or provide advice on such systems, based on examination of current financial records.
- Help me answer questions from taxpayers and assist them in completing tax forms.

## 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-13-2081-00_