Market data

Remote NLP Jobs: hiring data and trends

This page tracks active remote nlp jobs. The data below shows salary visibility, job type mix, hiring companies, locations, and fresh postings for this category.

33Active roles

Current remote nlp jobs in this view

82%Salary coverage

27 listings include pay data

$192kMedian listed pay

Based on available salary ranges

7Fresh postings

Posted in the last 7 days

Hiring patterns

  • Full-Time is the leading job type in this view.
  • Common title signals include Engineer, Data, Scientist, Principal, and Architect.
  • NLP roles often overlap with adjacent AI engineering, data science, model operations, product, and research work.

Salary and seniority

  • The most common salary bands include $200k+, $150k-$199k, and $100k-$149k.
  • 26 listings are tagged as $100k+ roles.
  • Available salary ranges suggest a median listed midpoint of $192k.

Companies and locations

Hiring is currently visible from SAIC, Booz Allen Hamilton, Curotec, NTT DATA, and Bobyard. Location signals include Remote, US, San Francisco, CA, US, and Brooklyn, NY, but the board keeps city, state, company, salary, and category pages separate so each indexed page has one clear search intent.

Frequently asked questions

How many remote nlp jobs are active?

There are 33 active remote nlp jobs in the current dataset.

What job types are common for remote nlp jobs?

The most common job types in this view are Full-Time, Contract, and Temporary. Full-time roles make up 73%, contract roles 12%, and part-time roles 0%.

What salary data is available for remote nlp jobs?

27 listings include salary information. The median listed salary midpoint is $192k, and the highest listed range reaches $360k.

Which companies are hiring for remote nlp jobs?

Current listings include roles from SAIC, Booz Allen Hamilton, Curotec, NTT DATA, and Bobyard.

Where are these remote nlp jobs available?

Common location signals include Remote, US, San Francisco, CA, US, and Brooklyn, NY. City and state pages stay separate from category pages to avoid thin combined pages.

How should I use this category page?

Start with the newest jobs, then filter by title, company, job type, category, and salary. Use the linked pages below for cleaner searches without mixing multiple facets into low-value SEO pages.