Umpires, referees, and other sports officials

$39k median pay19k US jobsHigh school diploma or equivalent
5
out of 10
Building Momentum

The occupation is a hybrid of physical presence and objective data processing. While computer vision and AI can already automate 'calls' (like strike zones or out-of-bounds) with higher accuracy than humans, the role still requires physical presence to manage player conduct, ensure safety, and handle real-time interpersonal disputes on the field.

Task breakdown

AI can do now30%
AI can assist28%
Human domain42%

Based on 15 O*NET work activities for this occupation

I want to...

Top tools for your role

3 ways to level up

1

Build an AI-assisted workflow for your top task

Take your highest-volume recurring task and redesign it with AI in the loop. Document the before/after process so your team can follow it.

Moves you from 4 → 6
2

Replace one manual review process with AI + human check

Let AI handle the first pass on document review, data validation, or quality checks. You review AI's output instead of doing it from scratch.

Cut review time by 60%
3

Set up AI templates for recurring deliverables

Create reusable AI prompts for reports, proposals, or analyses you produce regularly. Save them where your team can access and adapt them.

Moves you from 5 → 7

Estimated time savings

6hours per week

Conservative estimate based on AI exposure score and a 40-hour work week. Assumes 30% of exposed tasks produce real time savings today.

Personalized plan

Answer 3 quick questions and get a tailored action plan with specific tools, timelines, and next steps for your role.

AI Score measures how much AI opportunity your role has. Higher scores mean more potential for AI-assisted productivity gains. Scores are derived from O*NET task data across 342 occupations. This is a starting point, not a verdict. Tool recommendations are based on industry fit and are not endorsements.

Methodology · jobsdata.ai