As of July 2026, Animal Trainers has an AI-exposure score of 36/100 (Low exposure) on the AI-Safe Careers index. This is an estimate of task exposure, not a prediction of job loss.
Score inputs for this role: This role starts from O*NET 29.1 occupational descriptors and is empirically grounded by Penn/OpenAI GPTs are GPTs study, Anthropic Economic Index (June 26, 2026), Felten, Raj and Seamans AIOE index. BLS labor-market figures are separate context, not score inputs.

AI Exposure Score for

Animal Trainers

36/100
Low exposure
LowModerateElevatedHighVery High

More exposed than 5% of the roles we track. Median pay ~US$39,990. About 7,100 projected openings a year (BLS 2024–34 - growth plus replacement).

Pay & demand figures are US medians (BLS, in USD) - your local figures will differ. Your exposure score applies broadly.

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Data sources, not endorsements: O*NET and curated role data; empirical AI signals where matched; BLS employment, pay, and demand as separate context.Methodology Data sources
Role snapshot

What this role usually involves

O*NET 29.1 exact occupation

Train animals for riding, harness, security, performance, or obedience, or for assisting persons with disabilities. Accustom animals to human voice and contact, and condition animals to respond to commands. Train animals according to prescribed standards for show or competition. May train animals to carry pack loads or work as part of pack team.

Common titles
Dog TrainerGuide Dog Mobility Instructor (GDMI)Horse TrainerTrainerAgility InstructorDog Obedience Instructor
O*NET job-zone preparation
Job Zone 2 · Some Preparation Needed These occupations usually require a high school diploma. Some previous work-related skill, knowledge, or experience is usually needed.

Broad guidance for this preparation level; exact requirements vary by role and employer.

Skills and knowledge
InstructingSpeakingCritical ThinkingActive LearningJudgment and Decision MakingMonitoring
Tools and technology
Atlassian JIRAEpic SystemsFacebookMicrosoft ExcelMicrosoft Office softwareMicrosoft Outlook
Work context
Decision latitudeFace-to-face discussionsFrequent contact with othersTelephoneExternal customers

Source: O*NET 29.1 exact occupation - Animal Trainers, SOC 39-2011.00. Context describes the role; the AI-exposure score remains a separate task-exposure estimate.

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Animal Trainers tasks, by AI exposure

Automatable

No automatable tasks identified for this role - its real, individually-assessed tasks consistently read as durable (80%).

Augmentable
  • Conduct training programs to develop or maintain desired animal behaviors for competition, entertainment, obedience, security, riding, or related purposes.
  • Keep records documenting animal health, diet, or behavior.
1 more augmentable task locked in the report.
Durable
  • Administer prescribed medications to animals.
  • Evaluate animals to determine their temperaments, abilities, or aptitude for training.
10 more durable tasks locked in the report.

We analyzed all 15 Animal Trainers tasks - 3 augmentable and 12 durable. The full task map - every task with exactly what to do about each - is in your Career Report.

Your report unlocks three concrete artifacts

Full task map

Every task scored with what to automate, augment, or protect.

Adjacent path comparison

Related roles with exposure deltas, salary, demand, and reachability. Lower-exposure options appear only when the data supports them.

30/60/90 plan + PDF

A keepable roadmap plus resume and LinkedIn repositioning.

Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate - not generic advice.

Adjacent career paths

This role is already among lower-exposure work. The adjacent paths below are shown for opportunity and skill transfer, not as lower-exposure alternatives.

Animal Caretakers
80% skills overlap; 10 points higher - higher exposure; Moderate band; ~US$35,360
View path
46
7 more adjacent paths with exposure deltas, salary, demand, and reachability in your Career Report.
Agent Reality Check (on-site workflow preview)

Conduct training programs to develop or maintain desired animal behaviors for competition, entertainment, obedience, security, riding, or related purposes.

Check what deployed AI agents can attempt on tasks like this using dated capability evidence. You review the real task before any analysis runs.
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Your AI-Safe Career Report

Every task scored with what to do about it; adjacent paths with honest exposure deltas, salary, demand, and reachability; a skill-gap map; a 30/60/90-day roadmap; Agent Reality Check; plus a résumé and LinkedIn rewrite and professional PDF.
Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate.

Workers with AI skills earn a roughly 62% wage premium - adapting pays. - PwC Global AI Jobs Barometer, 2026

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Important: This is an estimate of AI exposure, not a prediction that your job will disappear. It is designed to help you understand how your role may change and improve your career resilience.