Natural Language Processing (NLP) Engineer Salary in United States
Detailed compensation breakdown, percentiles, and market demand for Natural Language Processing (NLP) Engineer in United States.
Data Sources: U.S. Bureau of Labor Statistics (OEWS Survey), DOL Certified H-1B Disclosures & Public SEC 10-K Filings. Learn about our formula →
Salary Progression by Experience Level in United States
Estimated pay progression across career stages for Natural Language Processing (NLP) Engineer
Junior Natural Language Processing (NLP) Engineer
Recent graduates and early career entrants.
Natural Language Processing (NLP) Engineer
Autonomous execution and domain proficiency.
Senior Natural Language Processing (NLP) Engineer
System architecture, mentorship, and project leadership.
Staff / Principal
Strategic direction and cross-functional technical decisions.
Natural Language Processing (NLP) Engineer Salary in Other US Locations
Compare regional earnings and cost-of-living adjustments
San Francisco, CA
San Jose, CA
New York, NY
Seattle, WA
Hawaii
Oakland, CA
Boston, MA
California
Role Profile & Career Requirements
A Natural Language Processing (NLP) Engineer leads technical design, operational execution, and industry best practices in their specialized sector. High demand and strong compensation growth projected through 2026-2032.
Frequently Asked Questions
How much does a Natural Language Processing (NLP) Engineer make in United States?
The median annual salary for a Natural Language Processing (NLP) Engineer in United States is $192,000, with entry-level professionals earning around $138,000 and top 10% senior specialists earning up to $335,000.
What is the average hourly rate for a Natural Language Processing (NLP) Engineer in United States?
On average, a Natural Language Processing (NLP) Engineer in United States makes approximately $92.31 per hour based on a standard 2,080-hour work year.