NLP Engineer vs Systems Administrator: 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.
Systems Administrator
Manage servers, operating systems, and IT infrastructure.
NLP Engineer earns more on average — the national median is $21,100/year (21%) higher than a Systems Administrator. However, salaries vary significantly by city, employer, and experience level — see the city-by-city breakdown below.
NLP Engineer vs Systems Administrator — Salary by City
National median figures in USD across top cities.
| City | NLP Engineer | Systems Administrator | Difference |
|---|---|---|---|
| San Francisco, CA | $175,055 | $146,173 | NLP +$28,882 |
| New York, NY | $135,980 | $120,157 | NLP +$15,823 |
| Seattle, WA | $174,364 | $143,912 | NLP +$30,452 |
| Austin, TX | $137,212 | $108,712 | NLP +$28,500 |
| Chicago, IL | $129,954 | $104,809 | NLP +$25,145 |
| Boston, MA | $156,119 | $127,175 | NLP +$28,944 |
| London, UK | £94,915 | £76,827 | NLP +$18,088 |
| Toronto, Canada | CA$156,823 | CA$130,867 | NLP +$25,956 |
Frequently Asked Questions
Does a NLP Engineer or Systems Administrator earn more?+
A NLP Engineer earns more on average. The national median salary for a NLP Engineer is $120,230/year, compared to $99,130/year for a Systems Administrator — a difference of $21,100 (21%).
Which has better career growth — NLP Engineer or Systems Administrator?+
NLP Engineer roles are growing at 42% YoY while Systems Administrator demand is growing at 4% YoY. NLP Engineer has stronger near-term demand growth.
Can you switch from NLP Engineer to Systems Administrator?+
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 — NLP Engineer or Systems Administrator?+
NLP Engineer has a lower AI automation risk (20% vs 64%). Based on Oxford Martin School and McKinsey 2023 analysis.