Camera and photographic equipment repairers
Repair and adjust cameras and photographic equipment, including commercial video and motion picture camera equipment.
BLS SOC 49-9061 · O*NET-SOC 49-9061.00 · BLS 2025–2035 · O*NET 31.0
Median annual wage, 2025
$52,720
Projected change, 2025–2035
-15.5%
2025–2035 annual average openings
100
AI exposure
Moderate
Editorial analysis
The camera is becoming more computational while repair remains physical
Modern cameras increasingly rely on software, sensors, image processors, autofocus algorithms, stabilization systems, connectivity, and computational photography. AI is becoming part of how cameras focus, identify subjects, reduce noise, process images, and sometimes generate portions of the final picture.
Smarter cameras can mean more specialized repairs
Repairers may need to diagnose not only mechanical shutters, lenses, mounts, and controls but also sensors, circuit boards, firmware, calibration systems, and electronically controlled optics. AI-assisted diagnostic tools can help narrow faults, but precision disassembly and repair remain physical tasks.
- Service manuals and fault information can become easier to search with AI.
- Diagnostic software may identify electronic or calibration problems more quickly.
- Consumer replacement rather than repair remains an economic pressure for lower-cost equipment.
- High-end cameras, professional lenses, specialty equipment, vintage gear, and precision calibration can support more specialized repair work.
The career may become increasingly niche, but specialization can matter. Repairers who combine optics, electronics, precision mechanics, and digital calibration skills can serve equipment that photographers and organizations cannot simply treat as disposable.
Labor-market picture
Two measures, different questions
These measures offer two different ways to understand the occupation: BLS projections show how national employment may change over time, while relative AI exposure highlights where tasks may intersect with AI-related capabilities. Read them with the work profile and your local context to decide what deserves closer investigation.
Employment
- Employment, 2025
- 1,800 jobs
- Projected employment, 2035
- 1,500 jobs
- Projected change, 2025–2035
- -300 jobs (-15.5%)
Relative AI exposure
BLS category: Moderate. This is a relative task-exposure classification, not a forecast of employment change, automation, wages, or worker replacement.
Relative AI exposure · Moderate
Work profile
Representative tasks
These task statements come from O*NET 31.0. They are source facts, not labels assigned by the AI exposure measure.
- Adjust cameras, photographic mechanisms, or equipment such as range and view finders, shutters, light meters, or lens systems, using hand tools.
- Disassemble equipment to gain access to defect, using hand tools.
- Test equipment performance, focus of lens system, diaphragm alignment, lens mounts, or film transport, using precision gauges.
- Clean and lubricate cameras and polish camera lenses, using cleaning materials and work aids.
- Requisition parts or materials.
- Calibrate and verify accuracy of light meters, shutter diaphragm operation, or lens carriers, using timing instruments.
Skills that matter
Skills in the source profile
Importance uses O*NET's 1–5 scale. Level uses its 0–7 scale. Select a skill to see its source definition and reported values.
Technology and tools
These technology records come from O*NET and show software or tools reported in the occupation profile. They describe work context, not a required checklist for every employer.
- Electronic mail software
- Spreadsheet software
- Office suite software
- Word processing software
- Data base user interface and query software
- Industrial control software
Preparation
- Typical entry education
- High school diploma or equivalent
- Related experience
- None
- On-the-job training
- Long-term on-the-job training
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Source provenance
Labor-market and exposure facts: bls-ep-2025-35. Work profile: onet-31.0. Verify release details on the Sources page.