Medium AI Risk Average

Helpers--roofers

SOC Code: 47-3016

Helpers--roofers carries a 25% AI exposure score (Medium automation risk), with a median annual wage of $40,590 and +5.7% projected employment growth from 2024 to 2034 (BLS), affecting approximately 5,200 workers. Full task breakdown, skills, and employer data are below.

AI Exposure Score
25% Medium
Below-average exposure

Proportion of tasks susceptible to AI automation (O*NET analysis)

Projected Growth
+5.7%
Above typical growth
2024–2034 (BLS)
+300 jobs
Median Annual Wage
$40,590
Below typical pay
BLS May 2024
How wage figures are sourced →
The verdict

At 25% AI exposure, Helpers--roofers sits 12 points below the 37.2% average across 832 U.S. occupations - more exposed than 15% of them. Most of its core tasks still require human judgment.

25%
AI exposure
15th
percentile
+5.7%
Job growth 2024–34
$40,590
Median wage
C

Career outlook score

59/100

Helpers--roofers, weighted across 3 of 3 tracked dimensions

A weighted composite of median wage, projected growth, and AI-automation security (inverted exposure), each benchmarked against every other tracked occupation. It describes this occupation's standing across those three dimensions, not a guarantee of future outcomes.

  • Median wage F $40,590

    Annual median wage, percentile rank vs all tracked occupations

  • Projected growth A- +5.7%

    Projected employment change, 2024-2034, BLS Employment Projections

  • AI exposure (inverted) A 25% exposure

    Lower O*NET task-automability scores lower risk; this dimension scores security, not exposure

Employment vs AI exposure

Home health and personal care aides is #1 of 832 occupations by employment (4.3M, AI exposure rank #392 at 35%) vs. Bookkeeping, accounting, and auditing clerks #1 by AI task exposure (95%, employment rank #17 at 1.6M).

4.3M
Home health and personal care aides employment (#1)
#392
Home health and personal care aides AI rank
95%
Bookkeeping, accounting, and auditing clerks AI exposure (#1)
#17
Bookkeeping, accounting, and auditing clerks employment rank

Automation-risk inventory

Exclusive cut of 832 occupations by PlainWorkforce automation-risk band. Orthogonal to the continuous AI-exposure distribution chart below and to this occupation's single risk badge, this is the corpus band mix, with Helpers--roofers in the Medium band.

Credential × growth standing

Open entry with non-declining BLS pace

Helpers--roofers keeps an No credential bar (109 of 832) and sits in Average (378 of 832). Lower formal gates with a non-shrinking employment line - skill and AI desks matter more than credentials here.

Where Helpers--roofers sits among all occupations

AI-exposure score distribution across 832 U.S. occupations (O*NET task analysis). This occupation is marked in rose.

Where Helpers--roofers sits by AI exposure

AI-exposure score distribution across U.S. occupations (O*NET task analysis)

25% Among the lowest lower than 85% of 832 occupations

Occupations, banded by AI-exposure score

Each bar is a band; taller bars hold more occupations. The dashed line + filled bar mark this entry. Hover or tap any bar for its full count and share, and where it sits relative to this entry.

Source O*NET task data (U.S. Department of Labor) · BLS 2024–2034

Source: O*NET task data (U.S. Department of Labor); AI-exposure scores are PlainWorkforce's analysis. As of BLS 2024–2034.

Helpers--roofers vs. its occupational neighbors

AI exposure (horizontal) vs projected 2024–2034 growth (vertical) for occupations in the same SOC group. Helpers--roofers is marked in rose; the top-left corner is the most future-proof.

Future-proofGrowing but exposedStable, lower-AIMost at risk11.8%18.4%25%31.6%38.2%-1.3%1.5%4.3%7.2%10.0%AI exposure (%) →Projected growth (%) →Helpers--roofers, AI exposure (%) →: 25% · Projected growth (%) →: 5.7%Helpers--roofersConstruction laborer, AI exposure (%) →: 15% · Projected growth (%) →: 7.3%Construction laborerCarpenters, AI exposure (%) →: 28% · Projected growth (%) →: 4.5%CarpentersFirst-line superviso, AI exposure (%) →: 32% · Projected growth (%) →: 5.3%First-line supervisoElectricians, AI exposure (%) →: 13% · Projected growth (%) →: 9.5%ElectriciansPlumbers, AI exposure (%) →: 27% · Projected growth (%) →: 4.5%PlumbersOperating engineers, AI exposure (%) →: 25% · Projected growth (%) →: 3.6%Operating engineersPainters, AI exposure (%) →: 27% · Projected growth (%) →: 3.8%PaintersCement masons, AI exposure (%) →: 15% · Projected growth (%) →: 1.8%Cement masonsRoofers, AI exposure (%) →: 17% · Projected growth (%) →: 5.9%RoofersHighway maintenance , AI exposure (%) →: 21% · Projected growth (%) →: 3%Highway maintenance Construction, AI exposure (%) →: 37% · Projected growth (%) →: -0.8%Construction

Source: BLS Employment Projections 2024–2034 (growth) and O*NET (AI-exposure analysis by PlainWorkforce).

Employment Projections

5,200
Employment 2024
5,500
Projected 2034
+5.7%
Change (%)
+300
Change (jobs)

Where This Score Comes From

Helpers--roofers's Medium automation-risk tier is computed from O*NET Database 30.0 task-level analysis, where each documented task the occupation performs is evaluated against current generative AI, robotic process automation, and machine-learning capabilities. A score below 40% reflects tasks anchored in physical dexterity, unstructured environments, or high-touch human interaction that current AI cannot reliably replicate.

The employment, wage, and education figures above come from a second, separate federal source: BLS Employment Projections 2024–2034, matched to the O*NET task data by Standard Occupational Classification (SOC 47-3016) code, with the wage figure cross-validated against the BLS Occupational Employment and Wage Statistics (OEWS) May 2024 survey. BLS figures are presented exactly as published, with no adjustment on our part; the SOC-code match is what lets Helpers--roofers be compared directly against every other tracked occupation on the same basis, not just roles that happen to share a job title.

For career planners, this profile should be read alongside the task, skill, and knowledge breakdowns below and the list of employers whose workforce composition includes Helpers--roofers. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure.

Education & Entry Requirements

Typical Education
No formal educational credential
Work Experience
None
On-the-Job Training
Short-term on-the-job training

Registered Apprenticeship Pathway Available

Helpers--roofers is a recognized registered apprenticeship occupation under the DOL RAPIDS system. Earn while you train, apprentices typically start at ~$16/hr and reach $28–$46/hr upon completion, depending on the specific trade and region.

Top Tasks (O*NET)

  1. 1. Check to ensure that completed roofs are watertight.
  2. 2. Sweep and clean roofs to prepare them for the application of new roofing materials.
  3. 3. Locate worn or torn areas in roofs.
  4. 4. Clean work areas and equipment.
  5. 5. Maintain tools and equipment.
  6. 6. Cover roofs with layers of roofing felt or asphalt strips before installing tile, slate, or composition materials.
  7. 7. Remove old roofing materials.
  8. 8. Unload materials and tools from work trucks, and unroll roofing as directed.
  9. 9. Set ladders, scaffolds, and hoists in place for taking supplies to roofs.
  10. 10. Place tiles, nail them to roof boards, and cover nailheads with roofing cement.

Key Skills Required

  • Coordination
  • Active Listening
  • Monitoring
  • Speaking
  • Critical Thinking
  • Quality Control Analysis
  • Equipment Maintenance
  • Judgment and Decision Making
  • Active Learning
  • Social Perceptiveness

Knowledge Areas

  • Building and Construction
  • Administration and Management
  • Customer and Personal Service
  • Public Safety and Security
  • Mathematics
  • Transportation
  • Mechanical
  • Education and Training
  • English Language
  • Medicine and Dentistry

Frequently Asked Questions

Will AI replace Helpers--roofers?

Helpers--roofers has an AI exposure score of 25%, indicating a medium level of automation risk. The majority of tasks in this role require human judgment, creativity, or physical presence that AI cannot easily replicate.

What is the job outlook for Helpers--roofers?

According to BLS Employment Projections 2024-2034, Helpers--roofers is projected to grow by 5.7% over the decade. Current employment stands at approximately 5,200 workers.

What skills are needed for Helpers--roofers?

Key skills for Helpers--roofers include Coordination, Active Listening, Monitoring, and others. Typical entry-level education is No formal educational credential.

How much do Helpers--roofers earn?

The median annual wage for Helpers--roofers is $40,590, according to BLS Occupational Employment and Wage Statistics (May 2024). Actual earnings vary by location, experience, industry, and employer. The BLS publishes detailed wage percentiles by region in its Occupational Employment and Wage Statistics program.

What education is required for Helpers--roofers?

The typical entry-level education for Helpers--roofers is No formal educational credential. Employers generally expect None of related work experience. On-the-job training typically involves Short-term on-the-job training. Requirements can vary by employer and specialization.

Which companies employ Helpers--roofers?

Helpers--roofers roles exist across many industries and employers. Workforce composition is estimated from BLS industry-occupation employment distributions matched to SEC-registered public companies.

AI Exposure Rating

1.3
out of 5.0

Medium automation risk based on 10 analyzed tasks. Most tasks require human judgment and are resistant to automation.

Nationwide occupations with similar workforce profiles

Two data-derived peer sets for Helpers--roofers: AI-exposure neighbors and BLS 2034 growth neighbors (distinct comparison neighborhoods, cross-occupation).

Similar AI exposure score

Nearest O*NET task-automability scores nationwide (25% here).

Similar projected growth (2024–2034)

Nearest BLS employment change rates nationwide (+5.7% here).

Peers are nearest-neighbor matches on published BLS + O*NET metrics among occupations with ≥10,000 workers in 2024; corpus ranks above sort the full tracked set.

What to do with this

Use Helpers--roofers' numbers above to compare, not just read in isolation.

AI exposure scores estimate task automatability from O*NET data; they are not a certainty of job loss, and BLS growth projections are estimates, not guarantees.

Data sources: Bureau of Labor Statistics Employment Projections 2024–2034 and O*NET Database 30.0. Employment figures are rounded. Wage data from BLS Occupational Employment Statistics (OES).

Every figure on PlainWorkforce is rendered directly from BLS/O*NET source data, no number is typed in by an editor. See our editorial standards & corrections policy, the methodology behind these figures, or report a data error. Data current as of BLS Employment Projections 2024-2034.

Sources: BLS Employment Projections 2024-2034, O*NET Database 30.0.