Will AI replace Calibration Technologists and Technicians?
AI reaches some of this job’s work, but most of it stays with people.
27/100
Moderate exposure
More exposed to AI than 44% of US workers.
- AI already used in
- 0% of the work
- As AI tools mature: up to
- 47% of the work
What the job involves
Execute or adapt procedures and techniques for calibrating measurement devices, by applying knowledge of measurement science, mathematics, physics, chemistry, and electronics, sometimes under the direction of engineering staff. Determine measurement standard suitability for calibrating measurement devices. May perform preventive maintenance on equipment. May perform corrective actions to address identified calibration problems.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Within reach(7)
- Visually inspect equipment to detect surface defects.
- Analyze test data to identify defects or determine calibration requirements.
- Write and submit reports about the results of calibration tests.
- Plan sequences of calibration tests according to equipment specifications and scientific principles.
- Develop new calibration methods or techniques based on measurement science, analyses, or calibration requirements.
and 2 more
Out of reach(7)
- Read blueprints, schematics, diagrams, or technical orders.
- Conduct calibration tests to determine performance or reliability of mechanical, structural, or electromechanical equipment.
- Maintain or repair measurement devices or equipment used for calibration testing.
- Verify part dimensions or clearances using precision measuring instruments to ensure conformance to specifications.
- Order replacement parts for malfunctioning equipment.
and 2 more
Also called
Calibration Technician (Calibration Tech) · Calibration Tech · Calibration Specialist · Calibration Technologist · Gauge Specialist · Instrument and Control Technician (I and C Tech) · Instrument Control Technician (Instrument Control Tech) · Quality Technician (Quality Tech)
Related jobs
- Aerospace Engineering and Operations Technologists and Technicians24/100
- Electrical and Electronic Engineering Technologists and Technicians34/100
- Mechanical Engineering Technologists and Technicians40/100
- Electrical and Electronics Repairers, Commercial and Industrial Equipment26/100
- Robotics Technicians21/100
What these numbers mean
The score is the share of this job’s work, weighted by how important and frequent each task is, that AI could do in half the time: tasks an AI model could do alone count in full, tasks that need software built on AI count half.
“AI already used” is the share of the work in tasks where people are recorded using AI today. “As AI tools mature” counts every task AI could halve, with or without extra software.
The percentile compares the score with every job’s, weighted by how many people in the US do each one. Exposure means AI could change how the work is done, not that the job goes away. These are estimates for the typical job, not predictions.
Sources
- O*NET 31.0 Database, U.S. Department of Labor, Employment and Training Administration
- GPTs are GPTs: Labor market impact potential of LLMs (task labels), Eloundou, Manning, Mishkin & Rock (2023), OpenAI and University of Pennsylvania
- Anthropic Economic Index: labor market impacts (task penetration), Anthropic
- Occupational Employment and Wage Statistics, May 2025 (national and metropolitan areas), U.S. Bureau of Labor Statistics