Neuronify

NLP (natural language processing)

The field concerned with getting computers to work with human language. LLMs absorbed most of it, and the term is fading from postings.

Hiring data as of November 4, 2026 · refreshed daily

companies naming it
5 of 47companies naming it
open roles naming it
10open roles naming it
of those based in NYC
3of those based in NYC
pay: under 8 posted ranges
—pay: under 8 posted ranges

What NLP means

Natural language processing covers tasks such as classification, entity extraction, translation, summarization, and question answering. Before large language models, each was its own modeling problem with its own training data. Today one general model handles most of them through prompting, and the specialist techniques survive mainly where cost, latency, or scale rule out a large model.

NLP in New York job posts

5 of the 47 New York AI companies we track name NLP in at least one open role today, across 10 postings. 3 of those are based in New York; the rest are remote or in the companies’ other offices.

This is engineering vocabulary: 70% of the postings that name it are Engineering roles.

AlphaSense alone accounts for 5 of the 10 postings, which is why we lead with the company count: one employer’s hiring push should not read as a market trend.

How to read it

Now appears mostly as background — “experience in NLP or LLMs” — in engineering and research roles, and as a sign that a team predates the LLM shift and still runs classical models in production. Both are useful things to know about an employer.

What these roles pay

Not enough data to publish. We need at least eight distinct posted salary ranges on New York roles naming NLP before showing a median, and today there are fewer. For posted pay by function and seniority across the whole market, use the NYC salary calculator or the NYC AI engineer salary guide.

Companies naming NLP, daily

Count of companies with at least one open role naming the term. We read between 46 and 47 companies a day over this period, so a move of one or two is noise.

05105Sep 20Nov 4Sep 20: 5 companiesSep 21: 5 companiesSep 22: 5 companiesSep 23: 5 companiesSep 24: 5 companiesSep 25: 5 companiesSep 26: 5 companiesSep 27: 5 companiesSep 28: 5 companiesSep 29: 5 companiesSep 30: 5 companiesOct 1: 5 companiesOct 2: 5 companiesOct 3: 5 companiesOct 4: 5 companiesOct 5: 5 companiesOct 6: 5 companiesOct 7: 5 companiesOct 8: 5 companiesOct 9: 5 companiesOct 10: 5 companiesOct 11: 5 companiesOct 12: 5 companiesOct 13: 5 companiesOct 14: 5 companiesOct 15: 5 companiesOct 16: 5 companiesOct 17: 5 companiesOct 18: 5 companiesOct 19: 5 companiesOct 20: 5 companiesOct 21: 5 companiesOct 22: 5 companiesOct 23: 5 companiesOct 24: 5 companiesOct 25: 5 companiesOct 26: 5 companiesOct 27: 5 companiesOct 28: 5 companiesOct 29: 5 companiesOct 30: 5 companiesOct 31: 5 companiesNov 1: 5 companiesNov 2: 5 companiesNov 3: 5 companiesNov 4: 5 companies
View as table
Datecompanies
2026-09-205
2026-09-215
2026-09-225
2026-09-235
2026-09-245
2026-09-255
2026-09-265
2026-09-275
2026-09-285
2026-09-295
2026-09-305
2026-10-015
2026-10-025
2026-10-035
2026-10-045
2026-10-055
2026-10-065
2026-10-075
2026-10-085
2026-10-095
2026-10-105
2026-10-115
2026-10-125
2026-10-135
2026-10-145
2026-10-155
2026-10-165
2026-10-175
2026-10-185
2026-10-195
2026-10-205
2026-10-215
2026-10-225
2026-10-235
2026-10-245
2026-10-255
2026-10-265
2026-10-275
2026-10-285
2026-10-295
2026-10-305
2026-10-315
2026-11-015
2026-11-025
2026-11-035
2026-11-045

Who names it

Open roles naming NLP, by company.

Which roles

The same postings, by function and by seniority.

  • Engineering7
  • Research3
  • Staff/Principal4
  • Mid3
  • Senior3

Named alongside NLP

Terms that appear in the same postings far more often than chance would put them there. The number is how many of the 5 companies pair the two.

Open roles naming NLP

A sample from today’s data, New York roles first and one per company before any repeats. Links go to the employer’s own posting. For the full market, see AI jobs in NYC.

How this is counted

Every day we read the open roles on the public job boards of the New York AI companies in our coverage — the NYC AI 100 and the AI in NYC Show roster. This term is matched against each role’s description after removing the text a company repeats across its postings, so an “About us” paragraph cannot tag every role the company has open. A vendor’s own postings never count toward its own name.

The figure means named in a job posting. It does not mean used in production, and a “nice to have” counts the same as a requirement. Companies are the headline number because posting counts are dominated by whichever few employers are hiring hardest this month.

Full method, including the pay rules, is on the glossary index; the underlying series is the NYC AI Hiring Index.

NLP — common questions

What does NLP mean in an AI job posting?

The field concerned with getting computers to work with human language. LLMs absorbed most of it, and the term is fading from postings. Now appears mostly as background — “experience in NLP or LLMs” — in engineering and research roles, and as a sign that a team predates the LLM shift and still runs classical models in production. Both are useful things to know about an employer.

How many New York AI companies are hiring for NLP?

As of November 4, 2026, 5 of the 47 New York AI companies we track name NLP in the description of at least one open role, across 10 postings (3 based in New York). The count refreshes daily from the companies’ own job boards.

What do roles that ask for NLP pay in New York?

We do not publish a pay figure for NLP yet. Fewer than eight New York postings naming it carry a distinct posted salary range, and below that number a median says more about two or three employers than about the market.

Which skills are asked for alongside NLP?

In the same postings, the terms most distinctively paired with NLP are Anthropic, Machine learning, Evals, GCP. We rank pairings by how much more often they appear together than apart, so near-universal terms such as Python do not crowd out the informative ones.

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