Median salary
$99,500
per year · annualized USD
Typical range
$79.4k – $131.5k
25th–75th percentile
Disclosing pay
25.5%
27 of 106 roles
Live roles
106
open right now
Salary trend
median · annualized USDSalary distribution
annualized USD · disclosed rolesHighest-paying jobs
AI/ML Specialist Solutions Architect
Machine Learning Research, RF Foundation Models Specialist
Specialist Solutions Architect - AI/ML
Senior Specialist Field Engineer - HPC/AI/ML
Senior Specialist Field Engineer - HPC/AI/ML
Senior Manager, Sales Training and Development
Senior Manager, Learning and Development (Commercial)
Sr Specialist, Learning Technology
Top companies hiring
| Company | Median | Roles |
|---|---|---|
Harlem Children's Zone
|
$30,000 | 3 |
|
Nebius
|
$285,000 | 1 |
|
Distributed Spectrum
|
$250,000 | 1 |
|
CoreWeave
|
$195,000 | 1 |
|
Databricks
|
$180,875 | 1 |
|
CoreWeave Europe
|
$154,023 | 1 |
| AT Axsome Therapeutics | $152,500 | 1 |
|
Alamar Biosciences
|
$140,000 | 1 |
Learning & Development salary by location
| Location | Median | Roles |
|---|---|---|
| New York | $93,250 | 11 |
See every Learning & Development role
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How much do Learning & Development roles pay?
The median salary for Learning & Development roles is $99,500 per year. Most pay falls between $79,400 (25th percentile) and $131,500 (75th percentile), with the broader 10th–90th percentile band running from $48,000 to $202,500.
These figures are computed live from 106 active Learning & Development roles on JobsRadar, of which 27 (25.5%) publish a salary range. Pay is normalized to annualized USD so roles can be compared on equal terms; the highest-paying roles listed above show their original posted currency. Numbers refresh every few hours as new roles are posted and older ones close.
Employers currently hiring well-paid Learning & Development roles include Nebius, Distributed Spectrum, Databricks and CoreWeave.
Salary transparency varies by employer and region, so the disclosing share above reflects only roles that publish pay — not every open position. Use it as a directional benchmark rather than an exact offer.