Skip to content
Singulariki

Compliance Officers

Occupation · SOC 13-1041.00

Examine, evaluate, and investigate eligibility for or conformity with laws and regulations governing contract compliance of licenses and permits, and perform other compliance and enforcement inspection and analysis activities not classified elsewhere.

Also called: Driver License Examiner · License Examiner · Motor Vehicle Clerk · Public Service Representative (PSR) · Driver Examiner · Driver License Agent · Examiner · License Registration Examiner · Licensing Analyst · Transportation Services Representative (TSR) · Air Pollution Compliance Inspector · Certified Driver Examiner (CDE)

Job family: Business and Financial Operations Occupations

Take this to your AI
Download .md

A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-13-1041-00/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.

70th-percentile task overlap — yet about 33,300 openings a year (+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.) Moderate 64th 0.7
LLM task exposure, γ (OpenAI / Eloundou) High 79th 0.9
AI assistant applicability (Microsoft) High 67th 0.2

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.5), with simple added tooling (β 0.7), and including AI-powered software (γ 0.9). 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.

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 0.1 · 26th percentile among occupations · Low

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.

Prepare correspondence to inform concerned parties of licensing decisions or appeals processes. 0.9%
Prepare reports of activities, evaluations, recommendations, or decisions. 0.7%
Identify compliance issues that require follow-up or investigation. 0.4%
Evaluate applications, records, or documents to gather information about eligibility or liability issues. 0.2%
Advise licensees or other individuals or groups concerning licensing, permit, or passport regulations. 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 · +3.0% by 2034
Projected annual openings 33,300
Employment 2024 → 2034 418,000 → 430,300

“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.

38% mean task exposure (2025)
74th percentile of 427 placed occupations
−7 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Government Social Benefits Officials · 3353 45% Gradient 2
Government Licensing Officials · 3354 43% Gradient 2
Customs and Border Inspectors · 3351 32% 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 16 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).

Knowledge

Law and Government 4.1
English Language 4.0
Customer and Personal Service 3.9
Public Safety and Security 3.4
Computers and Electronics 3.2
Administration and Management 3.1
Administrative 3.1
Education and Training 3.0

Essential skills

Reading Comprehension 4.0
Speaking 3.9
Active Listening 3.8
Writing 3.8
Critical Thinking 3.5
Monitoring 3.4
Active Learning 3.0
Learning Strategies 2.9

Abilities

Oral Comprehension 4.0
Written Comprehension 4.0
Oral Expression 4.0
Written Expression 4.0
Deductive Reasoning 3.9
Problem Sensitivity 3.8
Information Ordering 3.8
Inductive Reasoning 3.5
Near Vision 3.5
Speech Recognition 3.5
Speech Clarity 3.5
Category Flexibility 3.4
Fluency of Ideas 3.0
Selective Attention 3.0
Originality 2.9

Transferable skills

Judgment and Decision Making 3.6
Social Perceptiveness 3.5
Persuasion 3.3
Complex Problem Solving 3.3
Time Management 3.3
Coordination 3.1
Negotiation 3.1
Service Orientation 3.1
Instructing 2.9

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 Outlook Electronic mail software Hot technology In demand
Microsoft PowerPoint Presentation software Hot technology In demand
Microsoft Word Word processing software Hot technology In demand
Microsoft Access Data base user interface and query software Hot technology
Microsoft Windows Operating system software Hot technology
Commercial driver's license information system CDLIS Data base user interface and query software
Computer-assisted testing software Data base user interface and query software
Database software Data base user interface and query software
Digital imaging system software Graphics or photo imaging software
Document scanning software Optical character reader OCR or scanning software
Driving simulators Computer based training software
National Driver Register NDR Data base user interface and query software
Safety Status Measurement System SafeStat Data base user interface and query software
Traffic record 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.

Contact With Others 4.8
Deal With External Customers or the Public in General 4.8
Telephone Conversations 4.5
Face-to-Face Discussions with Individuals and Within Teams 4.5
Importance of Being Exact or Accurate 4.5
Work With or Contribute to a Work Group or Team 4.4
Dealing With Unpleasant, Angry, or Discourteous People 4.0
Importance of Repeating Same Tasks 4.0
E-Mail 4.0
Spend Time Sitting 3.8
Physical Proximity 3.8
Indoors, Environmentally Controlled 3.7
Frequency of Decision Making 3.7
Freedom to Make Decisions 3.7
Written Letters and Memos 3.7
In an Enclosed Vehicle or Operate Enclosed Equipment 3.6
Conflict Situations 3.6
Impact of Decisions on Co-workers or Company Results 3.6
Coordinate or Lead Others in Accomplishing Work Activities 3.6
Spend Time Making Repetitive Motions 3.5
Time Pressure 3.5
Outdoors, Exposed to All Weather Conditions 3.5
Consequence of Error 3.5
Exposed to Extremely Bright or Inadequate Lighting Conditions 3.4
Determine Tasks, Priorities and Goals 3.3
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 3.3
Exposed to Contaminants 3.2
Exposed to Disease or Infections 3.0
Exposed to Very Hot or Cold Temperatures 2.9
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 2.8
Exposed to Cramped Work Space, Awkward Positions 2.8
Level of Competition 2.7
Spend Time Bending or Twisting Your Body 2.5
Degree of Automation 2.5
Indoors, Not Environmentally Controlled 2.5
Spend Time Standing 2.5
Dealing with Violent or Physically Aggressive People 2.5
Exposed to Hazardous Equipment 2.5
Public Speaking 2.4
Work Outcomes and Results of Other Workers 2.3

How to get in

Job zone
Zone 4 — Job Zone Four: Considerable Preparation Needed
Education
Most of these occupations require a four-year bachelor's degree, but some do not.
Typical entry-level education
Bachelor's degree · BLS, the typical path — not a requirement
Related experience
A considerable amount of work-related skill, knowledge, or experience is needed for these occupations. For example, an accountant must complete four years of college and work for several years in accounting to be considered qualified.
Preparation level
SVP (7.0 to < 8.0) — total schooling plus on-the-job experience.

What to study: Business, Management, Marketing, and Related Support Services , Health Professions and Related Programs , Homeland Security, Law Enforcement, Firefighting and Related Protective Services , Multi/Interdisciplinary Studies , Natural Resources and Conservation . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.

Interests & work styles

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

Career interests (Holland / RIASEC)

Conventional 6.3
Enterprising 4.1
Investigative 3.1
Social 3.0
Realistic 2.5

Interest areas

Office Work 5.3
Law 4.3
Management/Administration 2.9
Accounting 2.5
Protective Service 2.5
Finance 2.1
Public Speaking 2.0

Work styles

Dependability 4.0
Attention to Detail 3.0
Integrity 2.9
Cautiousness 2.2

Wages & employment

U.S. · annual wages (BLS OEWS)

$46k10th$59k25th$78kMedian$105k75th$130k90th
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.
418k2024430k2034 (proj.)+3.0% · 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 $46,230
25th percentile $59,130
Median (50th) $78,420
75th percentile $104,800
90th percentile $130,030
People employed 397,770

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
Finance and Insurance · Sector 46,410 $79,920
Professional, Scientific, and Technical Services · Sector 38,020 $90,990
Health Care and Social Assistance · Sector 32,070 $68,590
Management of Companies and Enterprises · Sector 22,870 $89,740
Administrative and Support and Waste Management and Remediation Services · Sector 18,660 $60,800
Manufacturing · Sector 18,630 $85,040
Educational Services · Sector 15,080 $74,650
Transportation and Warehousing · Sector 14,480 $63,430
Wholesale Trade · Sector 10,460 $80,660
Temporary Help Services · National industry 7,260 $56,880
Real Estate and Rental and Leasing · Sector 7,040 $65,310
Information · Sector 6,310 $92,300

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
Hydroelectric Power Generation · National industry 7.37× 130
Direct Health and Medical Insurance Carriers · National industry 4.96× 5,750
Fossil Fuel Electric Power Generation · National industry 3.26× 600
Management of Companies and Enterprises · Sector 3.16× 22,870
Finance and Insurance · Sector 2.89× 46,410
Utilities · Sector 2.8× 4,180
Testing Laboratories and Services · National industry 1.8× 790
Residential Mental Health and Substance Abuse Facilities · National industry 1.6× 1,070

Part of the Energy & Natural Resources , Financial Services , Management & Entrepreneurship and Public Service & Safety career clusters.

Exposure quadrant: AI task-overlap percentile vs Median pay Compliance Officers sits at the 70th percentile of AI task-overlap and the 68th 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 Compliance Officers Paralegals and Legal Assistants Coroners Administrative Law Judges, Adjudicators, and Hearing Officers Compliance Managers Court, Municipal, and License Clerks Eligibility Interviewers, Government Programs 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 Compliance Officers — 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 74th percentile of 427 international occupations.

Write a report on thisheadline · factoids · citation

Compliance Officers show 70th-percentile AI task overlap — and about 33,300 annual U.S. openings

  • Compliance Officers rank in the 70th percentile (High 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 33,300 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 (+3%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $78,420, across about 397,770 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Compliance Officers show 70th-percentile AI task overlap — and about 33,300 annual U.S. openings

• Compliance Officers rank in the 70th percentile (High 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 33,300 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 (+3%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $78,420, across about 397,770 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Compliance Officers". https://singulariki.com/roles/role-13-1041-00
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. "Compliance Officers." 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-13-1041-00

APA

Singulariki. (2026). Compliance Officers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-13-1041-00

BibTeX
@misc{singulariki-role-13-1041-00,
  title  = {Compliance Officers},
  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-13-1041-00}
}

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

Embed this chart

Paste this into any page. It links back here for attribution.