# Photographic Process Workers and Processing Machine Operators

> Perform work involved in developing and processing photographic images from film or digital media. May perform precision tasks such as editing photographic negatives and prints.

- **SOC code:** 51-9151.00
- **Canonical URL:** https://singulariki.com/roles/role-51-9151-00
- **Also known as:** Photo Lab Technician (Photographic Laboratory Technician), Photo Printer, Photo Specialist, Photo Technician, Digital Printer Operator, Film Processor, Film Technician, Lab Technician
- **Frame:** "AI exposure" means task overlap (how codifiable the work is), not jobs lost or a forecast. Every figure below is traced to a named public dataset.

## What this work is

**Core tasks** (O*NET):
- Select digital images for printing, specify number of images to be printed, and direct to printer, using computer software.
- Create prints according to customer specifications and laboratory protocols.
- Produce color or black-and-white photographs, negatives, or slides, applying standard photographic reproduction techniques and procedures.
- Set or adjust machine controls, according to specifications, type of operation, or material requirements.
- Review computer-processed digital images for quality.
- Operate scanners or related computer equipment to digitize negatives, photographic prints, or other images.
- Fill tanks of processing machines with solutions such as developer, dyes, stop-baths, fixers, bleaches, or washes.
- Measure and mix chemicals to prepare solutions for processing, according to formulas.
- Load digital images onto computers directly from cameras or from storage devices, such as flash memory cards or universal serial bus (USB) devices.
- Operate special equipment to perform tasks such as transferring film to videotape or producing photographic enlargements.
- Examine developed prints for defects, such as broken lines, spots, or blurs.
- Read work orders to determine required processes, techniques, materials, or equipment.

**Emerging tasks** (O*NET):
- Adjust digital images using software.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Customer and Personal Service _(knowledge)_
- Near Vision _(ability)_
- Computers and Electronics _(knowledge)_
- Oral Comprehension _(ability)_
- Visual Color Discrimination _(ability)_
- Operations Monitoring _(transferable_skill)_
- Oral Expression _(ability)_
- Active Listening _(essential_skill)_
- Quality Control Analysis _(transferable_skill)_
- Written Comprehension _(ability)_
- Reading Comprehension _(essential_skill)_
- Speaking _(essential_skill)_

**Skills in demand:**
- Microsoft Word _(Common Skill)_
- Microsoft Outlook _(Common Skill)_
- Microsoft Excel _(Common Skill)_
- Active Listening _(Common Skill)_
- Reading Comprehension _(Common Skill)_
- Information Ordering _(Specialized Skill)_
- Deductive Reasoning _(Common Skill)_
- English Language _(Common Skill)_
- Visualization _(Specialized Skill)_
- Inductive Reasoning _(Common Skill)_
- Critical Thinking _(Common Skill)_
- Complex Problem Solving _(Common Skill)_

**Tools & technology:**
- Microsoft Excel _(hot technology, in demand)_
- Microsoft Outlook _(hot technology, in demand)_
- Microsoft Word _(hot technology, in demand)_
- Adobe Creative Cloud software _(hot technology)_
- Adobe Illustrator _(hot technology)_
- Adobe InDesign _(hot technology)_
- Adobe Photoshop _(hot technology)_
- Amazon Web Services AWS software _(hot technology)_
- Cascading style sheets CSS _(hot technology)_
- Docker _(hot technology)_
- Git _(hot technology)_
- Microsoft Access _(hot technology)_

## AI exposure & outlook

- **AI task-overlap index:** 40th percentile (Moderate) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 39th percentile (Moderate) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 54th percentile (Moderate) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 32nd percentile (Low) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 99th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** no — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** -2.6% growth (Declining); 1.5k annual openings; 11.2k → 10.9k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $40,100; 5,550 employed.

## How people actually use AI here

Anthropic Economic Index — measured AI conversations mapped to this occupation's tasks:

- **Automation vs augmentation:** 38% automation, 47% augmentation (usage-weighted).
- **Autonomy median:** 4.0 (higher = AI acts more independently).
- **Dominant collaboration mode:** directive.

**Tasks most handed to AI here:**
- Examine drawings, negatives, or photographic prints to determine coloring, shading, accenting, or other changes required for retouching or restoration. _(1.3% of measured AI use; directive)_

**Example prompts (honest phrasings of the tasks above — starting points, not endorsed instructions):**
- Help me examine drawings, negatives, or photographic prints to determine coloring, shading, accenting, or other changes required for retouching or restoration.

## Sources

- **O*NET** (30.3) — U.S. Department of Labor / National Center for O*NET Development. https://www.onetcenter.org/database.html
- **BLS Occupational Employment and Wage Statistics (OEWS)** (May 2024) — U.S. Bureau of Labor Statistics. https://www.bls.gov/oes/
- **BLS Employment Projections** (2024–2034) — U.S. Bureau of Labor Statistics. https://www.bls.gov/emp/
- **Anthropic Economic Index** (v4 (2026-01-15) + v2 (2025-03-27)) — Anthropic. https://www.anthropic.com/economic-index
- **Microsoft “Working with AI”** (working-with-ai) — Microsoft Research. https://www.microsoft.com/en-us/research/
- **“GPTs are GPTs” (Eloundou et al.)** (arXiv 2303.10130) — OpenAI / academic. https://arxiv.org/abs/2303.10130
- **AI Occupational Exposure (AIOE)** (Felten, Raj & Seamans) — academic. https://github.com/AIOE-Data/AIOE
- **Frey & Osborne (2013)** (frey-osborne-automation) — academic. https://www.oxfordmartin.ox.ac.uk/publications/the-future-of-employment/
- **Dingel & Neiman (2020)** (dingel-neiman-workathome) — academic. https://github.com/jdingel/DingelNeiman-workathome

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_Generated from Singulariki's joined dataset; data snapshot 2026-06-02T21:00:32.945303+00:00. https://singulariki.com/roles/role-51-9151-00_