AI-skilled human resources roles are growing faster than the broader market. Here's what's hiring right now, who's hiring most, and what they're paying.
Live Listings
AI Pulse tracks 10,872 job postings across all functions. Of those, 6% of human resources postings mention AI as a required or preferred skill. We refresh the dataset weekly.
The listings below are live and AI-skilled. Click through for the full description, salary band, and apply link.
Hiring Trends
The companies hiring most aggressively for AI-skilled human resources roles fall into four buckets:
What They're Asking For
The most-cited requirements in AI-skilled human resources postings, in order of frequency:
What's notably absent from most human resources postings: ML PhD, Python expertise, deep math. AI roles outside engineering rarely require those.
Pay Bands
Based on AI Pulse's salary data, AI-skilled human resources roles pay 40% more than non-AI human resources roles. Median total compensation:
For the full salary breakdown including geo cuts and top-paying companies, see the salary page.
How To Apply
For AI-skilled human resources roles, three things move you up the stack:
For the full transition path including comp at each level, see the career path page.
Common Questions
AI Pulse tracks roughly 652 live AI-skilled human resources postings at any given time, drawn from a 10,872-job dataset that refreshes weekly. The trendline is up across every quarter we've measured.
Browse the AI Pulse job board for live AI-skilled human resources postings. AI labs, AI-native scale-ups, big tech AI orgs, and public companies retooling around AI are the four buckets hiring most actively.
Usually no. Outside of AI engineering specifically, most AI roles want working fluency with AI tools, not ML credentials. Domain expertise plus AI literacy is the winning combination.
It depends on the company type. AI labs lean hybrid in SF, NYC, or London. AI-native scale-ups lean remote. Public companies vary. Remote AI-native is often the best pay-per-hour option.
Pick one AI tool from the tools page, build a workflow that maps to your existing job, document the result, and add it to your resume. Most candidates skip this step. The few who don't move ahead fast.
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