Medium AI Risk Average

Calibration technologists and technicians

SOC Code: 17-3028

Calibration technologists and technicians carries a 30% AI exposure score (Medium automation risk), with a median annual wage of $65,040 and +4.7% projected employment growth from 2024 to 2034 (BLS), affecting approximately 15,800 workers. Full task breakdown, skills, and employer data are below.

AI Exposure Score
30% Medium

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

Projected Growth
+4.7%
2024–2034 (BLS)
+700 jobs
Median Annual Wage
$65,040
BLS May 2024
How wage figures are sourced →

AI Exposure vs Industry Growth

Workforce demand by occupation Sanctioned bespoke signature viz (@signature-viz, KIZ-799) showing occupation-level workforce demand from BLS OEWS data. Pure SVG, no external dependencies.Projected Growth 2024-2034 (BLS)Technology+12.8%Healthcare+10.2%Professional+7.8%Education+5.8%Construction+4.5%Finance+4.6%Logistics+3.2%Government+1.2%Manufacturing-2.1%Retail-3.4%
National AI Exposure
40%
Average across all occupations
Avg Wage Growth
+3.2%
Median annual wage change
High-Risk Roles
127
Occupations with >70% AI exposure

Total occupations tracked

832

Covering all SOC major groups

Data currency

2024

BLS Employment Projections

AI exposure avg

40%

Fleet-wide median across all roles

Methodology confidence 92.0%
Industry standard

Composite score weighing O*NET task data completeness, BLS projection methodology, and cross-validation with employer risk grades.

Employment Projections

15,800
Employment 2024
16,500
Projected 2034
+4.7%
Change (%)
+700
Change (jobs)

Occupation Insight

Calibration technologists and technicians (SOC 17-3028) carries an AI exposure score of 30%, placing it in the Medium 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 below 40% reflects tasks anchored in physical dexterity, unstructured environments, or high-touch human interaction that current AI cannot reliably replicate.

The economic context matters alongside the risk score. BLS counted approximately 15,800 workers in this occupation in 2024, and projects a +4.7% change through 2034 — modest growth that keeps the occupation viable even as tasks evolve. Median annual compensation stands at $65,040, reflecting both skill scarcity and the value employers place on the tasks that remain difficult to automate. Entry typically requires Associate's degree, 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 Calibration technologists and technicians. 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
Associate's degree
Work Experience
None
On-the-Job Training
None

Top Tasks (O*NET)

  1. 1. Analyze test data to identify defects or determine calibration requirements.
  2. 2. Attend conferences, workshops, or other training sessions to learn about new tools or methods.
  3. 3. Calibrate devices by comparing measurements of pressure, temperature, humidity, or other environmental conditions to known standards.
  4. 4. Conduct calibration tests to determine performance or reliability of mechanical, structural, or electromechanical equipment.
  5. 5. Develop new calibration methods or techniques based on measurement science, analyses, or calibration requirements.
  6. 6. Disassemble and reassemble equipment for inspection.
  7. 7. Draw plans for developing jigs, fixtures, instruments, or other devices.
  8. 8. Maintain or repair measurement devices or equipment used for calibration testing.
  9. 9. Operate metalworking machines to fabricate housings, jigs, fittings, or fixtures.
  10. 10. Order replacement parts for malfunctioning equipment.

Frequently Asked Questions

Will AI replace Calibration technologists and technicians?

Calibration technologists and technicians has an AI exposure score of 30%, 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 Calibration technologists and technicians?

According to BLS Employment Projections 2024-2034, Calibration technologists and technicians is projected to grow by 4.7% over the decade. Current employment stands at approximately 15,800 workers.

What skills are needed for Calibration technologists and technicians?

Calibration technologists and technicians requires a combination of technical knowledge and interpersonal skills. Typical education requirement: Associate's degree.

How much do Calibration technologists and technicians earn?

The median annual wage for Calibration technologists and technicians is $65,040, 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 Calibration technologists and technicians?

The typical entry-level education for Calibration technologists and technicians is Associate's degree. Employers generally expect None of related work experience. On-the-job training typically involves None. Requirements can vary by employer and specialization.

Which companies employ Calibration technologists and technicians?

Calibration technologists and technicians 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

1.5
out of 5.0

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

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).

Related

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