2 Remote NLP Engineer Jobs
Explore top remote nlp engineer jobs and find flexible roles such as llm engineer, computer vision engineer, ai engineer, ai research scientist, machine learning engineer on Kickstart Remote. Work from anywhere and advance your career today!
Natural Language Processing Researcher
Natural Language Processing Researcher at Kitware developing AI solutions in computer vision and NLP for national security. Engaging in collaborative projects with major government agencies and academic institutions.
Technical Leader – Natural Language Processing
Technical Leader for Kitware's computer vision team, focusing on advanced R&D projects in NLP, ML, and AI. Collaborating with academic and industry researchers, leading proposals, and managing research teams.
Remote nlp engineer salary expectations & hiring insights
Looking to build your career in nlp engineer?
According to our job data analysis, the average remote nlp engineer salary is $140,000 per year, based on insights from over 2 job listings.
These roles span across startups (2–10 employees) to established firms (51–200 employees).
The demand for remote nlp engineers continues to grow rapidly, with top companies like LEO Technologies, LLC and Defined.ai offering roles such as LLM Engineer and Computer Vision Engineer.
Salary breakdown by experience
| Experience level | Average salary |
|---|---|
| Mid-level | $140,000 |
| Senior | $140,000 |
Skills hiring teams expect
Hiring managers consistently highlight Python (13.3%) as the must-have skill for remote nlp engineer roles. Airflow (6.7%) follows closely, showing how teams blend analytical depth with modern tooling. We parsed live job descriptions to surface the most requested capabilities.
13.3%
6.7%
6.7%
6.7%
6.7%
Companies leading remote hiring
Organizations such as LEO Technologies, LLC (1) and Defined.ai (1) have published the most openings lately, offering a snapshot of the employers investing in distributed nlp engineer talent.
Top regions hiring remotely
🇺🇸 United States accounts for the largest share of distributed nlp engineers openings, capturing 100.0% of the listings we track. Use this regional data to target your outreach and tailor availability windows.
1 listings
Education trends
Bachelor Degree remains the most frequently cited credential, appearing in 100.0% of verified postings. Mentioning equivalent coursework or certifications helps recruiters validate your background quickly.
100.0% of postings
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FAQs about Nlp Engineer
Quick answers we share most often with job seekers exploring nlp engineer paths.
Question 1What skills do you need to get a remote NLP Engineer job?
You need strong Python programming skills and experience with machine learning frameworks like TensorFlow. Knowledge of cloud platforms such as AWS or Azure and workflow tools like Apache Airflow is also highly valuable for managing data pipelines.
Question 2What qualifications do you need to get a remote NLP Engineer job?
Most positions require a degree in computer science or a related field, along with proven experience in natural language processing. A portfolio demonstrating successful NLP projects can be just as important as formal education for securing a role.
Question 3What are the responsibilities of someone who does a remote NLP Engineer job?
A remote NLP Engineer designs, builds, and deploys models for tasks like text classification and sentiment analysis. They also maintain data pipelines and collaborate with distributed teams to integrate these models into applications.
Question 4What are the benefits of a remote NLP Engineer job?
This role offers great schedule flexibility and the chance to work with global teams from your own home. You often get to focus deeply on complex technical problems with fewer office distractions.
Question 5What does a typical day look like for a remote NLP Engineer?
A typical day involves writing code to train or improve language models and reviewing results from experiments. You will also join video calls with your team to coordinate on projects and debug issues.
Question 6What tools do remote NLP Engineer teams commonly use?
Teams frequently use Python, PyTorch, and Hugging Face libraries for model development. They also rely on cloud services like AWS and orchestration tools such as Apache Airflow for pipeline management.
Question 7How can you grow your career as a remote NLP Engineer professional?
You can grow by contributing to open-source NLP projects and consistently learning about new architectures like transformers. Building a strong online presence through technical blogs or conference talks also increases your visibility.
Question 8Why is NLP Engineer important in remote-first companies?
NLP Engineers build the intelligent systems that power search, chatbots, and automation tools essential for remote work. Their work helps improve productivity and user experience for a distributed workforce and customer base.