NLP Engineer vs Blockchain Developer: Which Pays More?
Side-by-side salary comparison by city, experience level, and career growth outlook. Data reflects current market rates.
NLP Engineer
Build natural language processing systems and text AI models.
Blockchain Developer
Build decentralised applications and smart contracts on blockchain.
Blockchain Developer earns more on average โ the national median is $15,750/year (13%) higher than a NLP Engineer. However, salaries vary significantly by city, employer, and experience level โ see the city-by-city breakdown below.
NLP Engineer vs Blockchain Developer โ Salary by City
National median figures in USD across top cities.
| City | NLP Engineer | Blockchain Developer | Difference |
|---|---|---|---|
| San Francisco, CA | $175,055 | $192,216 | NLP $17,161 |
| New York, NY | $135,980 | $166,830 | NLP $30,850 |
| Seattle, WA | $174,364 | $197,295 | NLP $22,931 |
| Austin, TX | $137,212 | $148,358 | NLP $11,146 |
| Chicago, IL | $129,954 | $149,793 | NLP $19,839 |
| Boston, MA | $156,119 | $179,964 | NLP $23,845 |
| London, UK | ยฃ94,915 | ยฃ104,478 | NLP $9,563 |
| Toronto, Canada | CA$156,823 | CA$182,210 | NLP $25,387 |
Frequently Asked Questions
Does a NLP Engineer or Blockchain Developer earn more?+
A Blockchain Developer earns more on average. The national median salary for a NLP Engineer is $120,230/year, compared to $135,980/year for a Blockchain Developer โ a difference of $15,750 (13%).
Which has better career growth โ NLP Engineer or Blockchain Developer?+
NLP Engineer roles are growing at 42% YoY while Blockchain Developer demand is growing at 30% YoY. NLP Engineer has stronger near-term demand growth.
Can you switch from NLP Engineer to Blockchain Developer?+
Yes. Many professionals transition between these roles, especially since both are in the same category. Shared skills include: analytical thinking, communication, and industry knowledge.
Which is harder to automate โ NLP Engineer or Blockchain Developer?+
NLP Engineer has a lower AI automation risk (20% vs 30%). Based on Oxford Martin School and McKinsey 2023 analysis.