High AI Risk Average

Packaging and filling machine operators and tenders

SOC Code: 51-9111

Packaging and filling machine operators and tenders carries a 42% AI exposure score (High automation risk), with a median annual wage of $40,900 and +4.5% projected employment growth from 2024 to 2034 (BLS), affecting approximately 381,200 workers. Full task breakdown, skills, and employer data are below.

AI Exposure Score
42% High

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

Projected Growth
+4.5%
2024–2034 (BLS)
+17,000 jobs
Median Annual Wage
$40,900
BLS May 2024
How wage figures are sourced →
The verdict

At 42% AI exposure, Packaging and filling machine operators and tenders sits 5 points above the 37.2% average across 832 U.S. occupations - more exposed than 73% of them. Most of its core tasks still require human judgment.

42%
AI exposure
Top 27%
most exposed
+4.5%
Job growth 2024–34
$40,900
Median wage

Where Packaging and filling machine operators and tenders sits among all occupations

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

AI exposure distribution - Packaging and filling machine operators and tenders marked 1 occupations at 0–10% 1 0 43 occupations at 10–20% 43 10 184 occupations at 20–30% 184 20 332 occupations at 30–40% 332 30 158 occupations at 40–50% 158 40 64 occupations at 50–60% 64 50 29 occupations at 60–70% 29 60 15 occupations at 70–80% 15 70 5 occupations at 80–90% 5 80 1 occupations at 90–100% 1 90 AI exposure (%) →
Top 27% by AI exposure Higher AI exposure than 73% of all 832 occupations.

Packaging and filling machine operators and tenders has ai exposure of 42%. Distribution: 1 occupations at 0-10%; 43 occupations at 10-20%; 184 occupations at 20-30%; 332 occupations at 30-40%; 158 occupations at 40-50%; 64 occupations at 50-60%; 29 occupations at 60-70%; 15 occupations at 70-80%; 5 occupations at 80-90%; 1 occupations at 90-100%.

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

Packaging and filling machine operators and tenders vs. its occupational neighbors

AI exposure (horizontal) vs projected 2024–2034 growth (vertical) for occupations in the same SOC group. Packaging and filling machine operators and tenders is marked in rose; the top-left corner is the most future-proof.

Future-proofGrowing but exposedStable, lower-AIMost at risk28.1%33.0%38%43.0%47.9%-11.5%-7.0%-2.5%1.9%6.4%AI exposure (%) →Projected growth (%) →Miscellaneous assembFirst-line supervisoInspectorsWeldersPackagingMachinistsProduction workersElectricalBakersLaundryComputer numerically

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

Employment Projections

381,200
Employment 2024
398,200
Projected 2034
+4.5%
Change (%)
+17,000
Change (jobs)

Occupation Insight

Packaging and filling machine operators and tenders (SOC 51-9111) carries an AI exposure score of 42%, placing it in the High automation-risk tier. This score is computed from O*NET Database 30.0 task-level analysis, where each task an occupation performs is evaluated against current generative AI, robotic process automation, and machine-learning capabilities. A score in the 40–70% range indicates meaningful automation pressure on specific task categories, but the role as a whole still requires human judgment for coordination, exception handling, or client interaction.

The economic context matters alongside the risk score. BLS counted approximately 381,200 workers in this occupation in 2024, and projects a +4.5% change through 2034 - modest growth that keeps the occupation viable even as tasks evolve. Median annual compensation stands at $40,900, reflecting both skill scarcity and the value employers place on the tasks that remain difficult to automate. Entry typically requires High school diploma or equivalent, plus None of related experience.

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 Packaging and filling machine operators and tenders. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure. Pair the AI exposure score with the BLS employment projection and wage percentiles above for a complete career assessment.

Education & Entry Requirements

Typical Education
High school diploma or equivalent
Work Experience
None
On-the-Job Training
Moderate-term on-the-job training

Top Tasks (O*NET)

  1. 1. Attach identification labels to finished packaged items, or cut stencils and stencil information on containers, such as lot numbers or shipping destinations.
  2. 2. Sort, grade, weigh, and inspect products, verifying and adjusting product weight or measurement to meet specifications.
  3. 3. Stop or reset machines when malfunctions occur, clear machine jams, and report malfunctions to a supervisor.
  4. 4. Observe machine operations to ensure quality and conformity of filled or packaged products to standards.
  5. 5. Remove finished packaged items from machine and separate rejected items.
  6. 6. Monitor the production line, watching for problems such as pile-ups, jams, or glue that isn't sticking properly.
  7. 7. Inspect and remove defective products and packaging material.
  8. 8. Start machine by engaging controls.
  9. 9. Tend or operate machine that packages product.
  10. 10. Clean, oil, and make minor adjustments or repairs to machinery and equipment, such as opening valves or setting guides.

Key Skills Required

  • Operations Monitoring
  • Monitoring
  • Active Listening
  • Coordination
  • Operation and Control
  • Reading Comprehension
  • Critical Thinking
  • Social Perceptiveness
  • Equipment Maintenance
  • Quality Control Analysis

Knowledge Areas

  • Production and Processing
  • Mechanical
  • Public Safety and Security
  • Education and Training
  • English Language
  • Customer and Personal Service
  • Mathematics
  • Administration and Management
  • Personnel and Human Resources
  • Computers and Electronics

Frequently Asked Questions

Will AI replace Packaging and filling machine operators and tenders?

Packaging and filling machine operators and tenders has an AI exposure score of 42%, indicating a high level of automation risk. Some tasks in this role can be augmented or partially automated by AI, but core responsibilities require human judgment.

What is the job outlook for Packaging and filling machine operators and tenders?

According to BLS Employment Projections 2024-2034, Packaging and filling machine operators and tenders is projected to grow by 4.5% over the decade. Current employment stands at approximately 381,200 workers.

What skills are needed for Packaging and filling machine operators and tenders?

Key skills for Packaging and filling machine operators and tenders include Operations Monitoring, Monitoring, Active Listening, and others. Typical entry-level education is High school diploma or equivalent.

How much do Packaging and filling machine operators and tenders earn?

The median annual wage for Packaging and filling machine operators and tenders is $40,900, 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 Packaging and filling machine operators and tenders?

The typical entry-level education for Packaging and filling machine operators and tenders is High school diploma or equivalent. Employers generally expect None of related work experience. On-the-job training typically involves Moderate-term on-the-job training. Requirements can vary by employer and specialization.

Which companies employ Packaging and filling machine operators and tenders?

Packaging and filling machine operators and tenders 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

2.1
out of 5.0

High automation risk based on 10 analyzed tasks. A moderate share of tasks may be augmented by AI tools.

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).

Data sourced from official public datasets. See our methodology for details. Retrieved and formatted by PlainWorkforce Editorial

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.