# Costume Attendants

> Select, fit, and take care of costumes for cast members, and aid entertainers. May assist with multiple costume changes during performances.

- **SOC code:** 39-3092.00
- **Canonical URL:** https://singulariki.com/roles/role-39-3092-00
- **Also known as:** Costumer, Dresser, Wardrobe Assistant, Wardrobe Supervisor, Costume Draper, Costume Seamstress, Draper, Wardrobe Attendant
- **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):
- Provide dressing assistance to cast members or assign cast dressers to assist specific cast members with costume changes.
- Create worksheets for dressing lists, show notes, or costume checks.
- Arrange costumes in order of use to facilitate quick-change procedures for performances.
- Design or construct costumes or send them to tailors for construction, major repairs, or alterations.
- Examine costume fit on cast members and sketch or write notes for alterations.
- Distribute costumes or related equipment and keep records of item status.
- Check the appearance of costumes on stage or under lights to determine whether desired effects are being achieved.
- Clean and press costumes before and after performances and perform any minor repairs.
- Collaborate with production designers, costume designers, or other production staff to discuss and execute costume design details.
- Monitor, maintain, or secure inventories of costumes, wigs, or makeup, providing keys or access to assigned directors, costume designers, or wardrobe mistresses/masters.
- Purchase, rent, or requisition costumes or other wardrobe necessities.
- Direct the work of wardrobe crews during dress rehearsals or performances.

**Emerging tasks** (O*NET):
- Create patterns for costumes based on designer's drawings.
- Schedule costume fittings for actors.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Fine Arts _(knowledge)_
- Oral Comprehension _(ability)_
- Oral Expression _(ability)_
- Problem Sensitivity _(ability)_
- Near Vision _(ability)_
- Design _(knowledge)_
- Production and Processing _(knowledge)_
- Customer and Personal Service _(knowledge)_
- English Language _(knowledge)_
- Active Listening _(essential_skill)_
- Speaking _(essential_skill)_
- Monitoring _(essential_skill)_

**Skills in demand:**
- Microsoft Excel _(Common Skill)_
- English Language _(Common Skill)_
- Information Ordering _(Specialized Skill)_
- Active Listening _(Common Skill)_
- Psychology _(Specialized Skill)_
- Speech Recognition _(Specialized Skill)_
- Social Perceptiveness _(Common Skill)_
- Microsoft Word _(Common Skill)_
- Microsoft Outlook _(Common Skill)_
- Inductive Reasoning _(Common Skill)_
- Finger Dexterity _(Common Skill)_
- Deductive Reasoning _(Common Skill)_

**Tools & technology:**
- Microsoft Excel _(hot technology, in demand)_
- Microsoft Office software _(hot technology, in demand)_
- Microsoft Outlook _(hot technology)_
- Microsoft Word _(hot technology)_
- Database software
- Garment tracking software
- Web browser software

## AI exposure & outlook

- **AI task-overlap index:** 34th percentile (Moderate) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 37th percentile (Moderate) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 39th percentile (Moderate) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 31st percentile (Low) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 52nd percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** no — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 5.9% growth (About average); 1.8k annual openings; 6.7k → 7.1k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $54,810; 6,290 employed.

## How people actually use AI here

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

- **Autonomy median:** 3.0 (higher = AI acts more independently).

**Tasks most handed to AI here:**
- Review scripts or other production information to determine a story's locale or period, as well as the number of characters and required costumes. _(0.3% of measured AI use)_

**Example prompts (honest phrasings of the tasks above — starting points, not endorsed instructions):**
- Help me review scripts or other production information to determine a story's locale or period, as well as the number of characters and required costumes.

## 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-39-3092-00_