🕒 July 23
Computational Linguist contributing to Conversational AI technologies for quick-service restaurants. Implementing and testing semantic models while ensuring high-quality human-system interaction in a global context.
🌐 Greece, Spain, +3 more countries – Remote
⏰ Full Time
🟡 Mid-level
🟠 Senior
📝 NLP Engineer
👻 Ghost score 10%
🗣️🇪🇸 Spanish Required
Java
Python
SQL
🕒 June 16
Senior NLP Engineer focusing on the AI companions for a global social discovery group. Involves training language models and collaboration with various teams in an innovative environment.
Python
PyTorch
Go
🕒 May 25
Senior Full-Stack Engineer developing features for Noodle's Learning Platform. Collaborating with engineering teams to enhance online education tools and user experiences.
🇿🇦 South Africa – Remote
💰 $50M Series C on 2021-10
⏰ Full Time
🟠 Senior
📝 NLP Engineer
👻 Ghost score 28%
Django
Flask
Flux
JavaScript
Python
React
Redux
SCSS
🕒 April 1
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.
🏈 Alabama, Arizona, +19 more states – Remote
💵 $125k - $170k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
📝 NLP Engineer
👻 Ghost score 41%
TypeScript
🕒 April 1
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.
🏈 Alabama, Arizona, +19 more states – Remote
💵 $140k - $215k / year
⏰ Full Time
🟠 Senior
📝 NLP Engineer
👻 Ghost score 41%
TypeScript
🕒 March 31
Likely ghost job
Machine Learning Engineer specializing in Natural Language Processing for AI-driven solutions at Cloudacio. Developing advanced NLP solutions with a focus on client needs and collaboration.
AWS
Azure
Cloud
Google Cloud Platform
PyTorch
Tensorflow
🕒 March 31
Likely ghost job
Machine Learning Engineer using deep learning to build machine intelligence for Entefy’s products. Join a high-impact team focused on natural language processing and algorithms.
🇺🇸 United States – Remote
💰 $5M Funding Round on 2021-08
⏰ Full Time
🟡 Mid-level
🟠 Senior
📝 NLP Engineer
🦅 H1B Visa Sponsor
👻 Ghost score 72%
Caffe
ElasticSearch
Hadoop
Java
Keras
MapReduce
Python
Spark
Tensorflow
🕒 March 24
Machine Learning Engineer at Primordial Labs leading flight testing for the Anura system and integrating AI decision making. Building a next-gen interface for commanding autonomous systems.
🇺🇸 United States – Remote
💵 $120k - $180k / year
💰 $4M Seed Round - Primordial Labs on 2022-10
⏰ Full Time
🟡 Mid-level
🟠 Senior
📝 NLP Engineer
👻 Ghost score 57%
Python
PyTorch
Tensorflow
The average salary for remote nlp engineers is $144,089 per year. This is based on data from 33 job openings. Our advanced AI searches the internet for remote job openings and posts them on our website. We use the salary data from these job postings to calculate salary expectations.
Below is a breakdown of salary data by years of experience:
| Experience | Number of roles analyzed | Average Salary |
|---|---|---|
🟢 Junior NLP Engineer (1-2 yrs) | 5 | $103,250 |
🟡 Mid-level NLP Engineer (2-4 yrs) | 21 | $142,675 |
🟠 Senior NLP Engineer (5-9 yrs) | 7 | $177,500 |
We analyzed 24 job listings in the last year and found it takes about 31 days for employers to close a job opening.
We reviewed 33 job postings and found the top 10 skills employers are asking for most often are:
You need strong programming skills in languages like Python or Java, proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch), and a solid understanding of natural language processing techniques. Analytical thinking, problem-solving, and effective communication skills are also important for remote work.
Typically, a degree in computer science, artificial intelligence, or a related field is required. Relevant experience in NLP projects and a portfolio showcasing your work can be more important than formal qualifications. Certifications in machine learning or NLP can enhance your profile.
Responsibilities include developing NLP models, preprocessing and analyzing textual data, training and fine-tuning algorithms, conducting experiments to improve model performance, and collaborating with data scientists and stakeholders to implement solutions.
Benefits include flexible work hours, the opportunity to work from any location, access to global job markets, and a chance to work on innovative projects. Remote positions often lead to a better work-life balance and reduced commuting expenses.
We scan the internet everyday and find jobs not posted on LinkedIn or other job boards.
We find jobs as soon as they're posted, so you can apply before everyone else.
Most members hear back within the first week
We find jobs other job boards miss.