$91,250
mediana · por ano, anualizado em USD
$140,000
mediana · por ano, anualizado em 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
| Empresa | Mediana | Funções |
|---|---|---|
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 |
| Empresa | Mediana | Funções |
|---|---|---|
| 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 |
| Local | Mediana | Funções |
|---|---|---|
| New York | $72,579 | 8 |
| Local | Mediana | Funções |
|---|---|---|
| Boston | $161,250 | 4 |
| New York | $160,000 | 9 |
| San Francisco | $160,000 | 7 |
| Los Angeles | $130,000 | 3 |
A mediana para Learning & Development é $91,250 por ano (normalmente $72,967–$134,375), contra $140,000 para People Operations ($109,625–$160,625). Isso coloca People Operations cerca de 53% à frente na mediana.
Ambos os números são calculados ao vivo a partir de vagas ativas na JobsRadar e normalizados para USD anualizado, então Learning & Development e People Operations são comparados em igualdade de condições, independentemente da moeda em que cada vaga foi originalmente publicada. Apenas as vagas que publicam uma faixa salarial alimentam as medianas; os números são atualizados a cada poucas horas conforme novas vagas são publicadas e as antigas são encerradas, então esta comparação reflete o mercado agora, e não uma pesquisa fixa. Use-a como referência direcional ao pesar um caminho contra o outro.