# Training and Development Specialists

> Design or conduct work-related training and development programs to improve individual skills or organizational performance. May analyze organizational training needs or evaluate training effectiveness.

- **SOC code:** 13-1151.00
- **Canonical URL:** https://singulariki.com/roles/role-13-1151-00
- **Also known as:** Corporate Trainer, Job Training Specialist, Learning and Development Specialist (L and D Specialist), Training Specialist, Computer Training Specialist, Leadership Development Specialist, Learning and Development Consultant, Management Development Specialist
- **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):
- Present information with a variety of instructional techniques or formats, such as role playing, simulations, team exercises, group discussions, videos, or lectures.
- Obtain, organize, or develop training procedure manuals, guides, or course materials, such as handouts or visual materials.
- Evaluate modes of training delivery, such as in-person or virtual, to optimize training effectiveness, training costs, or environmental impacts.
- Assess training needs through surveys, interviews with employees, focus groups, or consultation with managers, instructors, or customer representatives.
- Offer specific training programs to help workers maintain or improve job skills.
- Monitor, evaluate, or record training activities or program effectiveness.
- Design, plan, organize, or direct orientation and training programs for employees or customers.
- Develop alternative training methods if expected improvements are not seen.
- Evaluate training materials prepared by instructors, such as outlines, text, or handouts.
- Monitor training costs and prepare budget reports to justify expenditures.
- Devise programs to develop executive potential among employees in lower-level positions.
- Keep up with developments in area of expertise by reading current journals, books, or magazine articles.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Education and Training _(knowledge)_
- Speaking _(essential_skill)_
- Instructing _(transferable_skill)_
- Learning Strategies _(essential_skill)_
- Oral Expression _(ability)_
- Active Listening _(essential_skill)_
- Social Perceptiveness _(transferable_skill)_
- Oral Comprehension _(ability)_
- Written Comprehension _(ability)_
- Written Expression _(ability)_
- Speech Recognition _(ability)_
- Speech Clarity _(ability)_

**Skills in demand:**
- Instructing _(Specialized Skill)_
- Learning Strategies _(Specialized Skill)_
- Speech Recognition _(Specialized Skill)_
- Social Perceptiveness _(Common Skill)_
- Active Listening _(Common Skill)_
- Writing _(Common Skill)_
- Reading Comprehension _(Common Skill)_
- Critical Thinking _(Common Skill)_
- Active Learning _(Common Skill)_
- English Language _(Common Skill)_
- Deductive Reasoning _(Common Skill)_
- Time Management _(Common Skill)_

**Tools & technology:**
- Microsoft Excel _(hot technology, in demand)_
- Microsoft Office software _(hot technology, in demand)_
- Microsoft Outlook _(hot technology, in demand)_
- Microsoft PowerPoint _(hot technology, in demand)_
- Adobe Acrobat _(hot technology)_
- Adobe After Effects _(hot technology)_
- Adobe Creative Cloud software _(hot technology)_
- Adobe Illustrator _(hot technology)_
- Adobe InDesign _(hot technology)_
- Adobe Photoshop _(hot technology)_
- Cisco Webex _(hot technology)_
- Django _(hot technology)_

## AI exposure & outlook

- **AI task-overlap index:** 91st percentile (High) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 82nd percentile (High) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 95th percentile (High) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 78th percentile (High) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 9th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** yes — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 10.8% growth (Growing fast); 43.9k annual openings; 452.3k → 501k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $65,850; 436,610 employed.

## How people actually use AI here

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

- **Automation vs augmentation:** 43% automation, 40% augmentation (usage-weighted).
- **Autonomy median:** 4.0 (higher = AI acts more independently).
- **Dominant collaboration mode:** directive.

**Tasks most handed to AI here:**
- Obtain, organize, or develop training procedure manuals, guides, or course materials, such as handouts or visual materials. _(1.6% of measured AI use; task iteration)_
- Design, plan, organize, or direct orientation and training programs for employees or customers. _(0.9% of measured AI use; task iteration)_
- Evaluate training materials prepared by instructors, such as outlines, text, or handouts. _(0.7% of measured AI use; directive)_
- Assess training needs through surveys, interviews with employees, focus groups, or consultation with managers, instructors, or customer representatives. _(0.3% of measured AI use; directive)_

**Example prompts (honest phrasings of the tasks above — starting points, not endorsed instructions):**
- Help me obtain, organize, or develop training procedure manuals, guides, or course materials, such as handouts or visual materials.
- Help me design, plan, organize, or direct orientation and training programs for employees or customers.
- Help me evaluate training materials prepared by instructors, such as outlines, text, or handouts.
- Help me assess training needs through surveys, interviews with employees, focus groups, or consultation with managers, instructors, or customer representatives.

## 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-13-1151-00_