$91,250
median · per year, annualized USD
$140,000
median · per year, annualized USD
Machine Learning Research, RF Foundation Models Specialist
Specialist Solutions Architect - AI/ML
Senior Learning and Development Manager
Staff Machine Learning Model Risk Specialist
Sr. Learning Platform Specialist
Senior Specialist Field Engineer - HPC/AI/ML
AI/ML Integration Specialist - ACWS
Sr Manager, Lab Operations Learning and Development
Senior Manager, Sales Training and Development
Senior Manager, Learning and Development (Commercial)
People ops / recruiting Evaluator
Senior People Operations Manager
Senior Manager, People Business Partner — Operations
People Operations Manager, Data & Reporting
People Operations Manager
People Operations Manager
People Operations Manager
People Ops Manager
Senior Manager, Global People Experience (HR) Operations
People Operations Program Manager
| Company | Median | Roles |
|---|---|---|
Meteor Education
|
$95,000 | 4 |
Harlem Children's Zone
|
$30,000 | 4 |
Hebrew Public
|
$83,000 | 3 |
Databricks
|
$189,388 | 2 |
Explore Schools
|
$72,579 | 2 |
Quince
|
$70,042 | 2 |
Distributed Spectrum
|
$250,000 | 1 |
Druva
|
$203,000 | 1 |
| Company | Median | Roles |
|---|---|---|
| VI Via | $80,000 | 3 |
Casechek
|
$107,500 | 2 |
Highwire
|
$100,000 | 2 |
Weekday AI
|
$208,000 | 1 |
| AL Alumis | $185,000 | 1 |
| MI Mixpanel | $180,000 | 1 |
Tyba
|
$175,000 | 1 |
CoreWeave
|
$173,500 | 1 |
| Location | Median | Roles |
|---|---|---|
| New York | $72,579 | 8 |
| Location | Median | Roles |
|---|---|---|
| Boston | $161,250 | 4 |
| New York | $160,000 | 9 |
| San Francisco | $160,000 | 7 |
| Los Angeles | $130,000 | 3 |
The median for Learning & Development is $91,250 per year (typically $72,967–$134,375), versus $140,000 for People Operations ($110,000–$162,500). That puts People Operations about 53% ahead at the median.
Both figures are computed live from active listings on JobsRadar and normalized to annualized USD, so Learning & Development and People Operations are compared on equal terms regardless of the currency each role was originally posted in. Only roles that publish a salary range feed the medians; numbers refresh every few hours as new roles post and older ones close, so this comparison reflects the market right now rather than a fixed survey. Use it as a directional benchmark when weighing one path against the other.