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Remote Natural Language Processing Engineer Jobs

Apex Informatics

AI/ML Engineer

AI/ML Engineer Location: Remote Role Objective Support the implementation of artificial ... Key Responsibilities - Design and deliver solutions involving: • Natural Language Processing (NLP ...

ChapsVision

Solutions Engineer II (US - Remote)

Our technology, powered by the latest natural language processing and deep learning techniques, is ... Role Overview We are looking for a Solutions Engineer to join our growing team. This is a hybrid ...

GDIT

AI Engineer - ICAM

Falls Church, VA · Remote

$122K - $146K/yr

Experience with natural language processing (NLP), semantic search, vector databases, and knowledge ... Remote Work Location: USA VA Falls Church Additional Work Locations: Any Location / Remote Total ...

GDIT

AI Engineer - ICAM

WV · Remote

$103K - $123K/yr

Experience with natural language processing (NLP), semantic search, vector databases, and knowledge ... Remote Work Location: USA VA Falls Church Additional Work Locations: Any Location / Remote Total ...

PTP

Machine Learning Engineer - REMOTE

Austin, TX · On-site +1

Natural language processing (NLP) * Free-text analytics * Machine learning (ML) algorithms ... Strong programming skills in Python * Experience with SQL and NoSQL databases * Strong problem ...

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Remote Natural Language Processing Engineer information

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$49.5K

$92K

$142.5K

How much do remote natural language processing engineer jobs pay per year?

As of Jun 17, 2026, the average yearly pay for remote natural language processing engineer in the United States is $92,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,500.00 and $103,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Natural Language Processing Engineer, and why are they important?

To succeed as a Remote Natural Language Processing Engineer, you need strong programming skills in Python, a solid understanding of machine learning and linguistics, and a relevant degree in computer science or a related field. Familiarity with NLP libraries (such as NLTK, spaCy, or Hugging Face Transformers), cloud platforms, and version control systems is typically required. Excellent problem-solving skills, self-motivation, and effective remote communication are crucial soft skills for this position. These abilities enable engineers to build robust language models, collaborate efficiently across distributed teams, and deliver impactful NLP solutions.

What is the difference between Remote Natural Language Processing Engineer vs Remote Data Scientist?

AspectRemote Natural Language Processing EngineerRemote Data Scientist
Required CredentialsBachelor's or Master's in CS, NLP, or related; experience with NLP frameworksBachelor's or Master's in CS, Statistics, or related; experience with data analysis
Work EnvironmentFocus on NLP projects, language models, text analysisBroader data analysis, predictive modeling, data visualization
Industry UsageTech, AI, research, companies developing language-based productsFinance, healthcare, tech, consulting, across various sectors

Remote Natural Language Processing Engineers specialize in language-specific AI models and text analysis, while Remote Data Scientists work on broader data analysis and predictive modeling. Both roles require strong technical skills and often overlap in data handling, but NLP Engineers focus more on language data and models.

What does a Remote Natural Language Processing Engineer do?

A Remote Natural Language Processing (NLP) Engineer specializes in developing systems that enable computers to understand, interpret, and generate human language. They work on tasks such as text classification, sentiment analysis, machine translation, and chatbot creation, often utilizing machine learning and deep learning techniques. Working remotely, they collaborate with data scientists, software engineers, and product teams to build and optimize NLP models for various applications. Their work helps improve the way machines interact with people through written and spoken language.

How do Remote Natural Language Processing Engineers typically collaborate with other team members across different time zones?

Remote Natural Language Processing Engineers often work with cross-functional teams, including data scientists, software developers, and product managers, who may be distributed globally. Effective collaboration usually involves leveraging tools like Slack, Jira, and video conferencing to maintain clear communication and coordinate project updates. Flexibility in scheduling and strong documentation skills are important to ensure everyone stays aligned despite time zone differences. Regular virtual meetings and asynchronous communication help address challenges and keep projects on track.
More about Remote Natural Language Processing Engineer jobs
What cities are hiring for Remote Natural Language Processing Engineer jobs? Cities with the most Remote Natural Language Processing Engineer job openings:
What are the most commonly searched types of Natural Language Processing Engineer jobs? The most popular types of Natural Language Processing Engineer jobs are:
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Remote Natural Language Processing Engineer jobs near you
Infographic showing various Remote Natural Language Processing Engineer job openings in the United States as of June 2026, with employment types broken down into 83% Full Time, 15% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $92,018 per year, or $44.2 per hour.

Software Engineer Supervisor (System Admin)

HR1Systems

Jersey City, NJ • On-site, Remote

Full-time

PTO

Posted 24 days ago

Job description

Description
HR1Systems is seeking a Software Engineer Supervisor (Systems Administrator) specializing in managing SaaS platforms, Machine Learning and AI to join our innovative team. We are looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design, and mobile app technologies.
As a software engineer supervisor, you will work on specific projects critical to HR1Systems' needs with opportunities to switch teams and projects due to our fast-paced business growth. We need our engineers to be versatile, display leadership qualities, and be enthusiastic about taking on new problems across the full stack as we continue to push technology forward. You will be managing a team of junior software engineers and data analysts.
Primary/Essential Duties and Key Responsibilities:
  • Design and Develop Scalable Software Solutions: Bring fresh ideas from various areas to address complex challenges in HR technology.
  • Develop and Implement Models: Design and build machine learning models and algorithms to address complex problems.
  • Machine Learning and AI Development: Design and implement machine learning algorithms and AI-driven solutions, including deep learning and natural language processing.
  • Full-Stack Development: Work across the full technology stack, from backend services to front-end user interfaces, ensuring seamless integration and performance.
  • Collaboration: Work closely with cross-functional teams, including data analysts, project managers, and other engineers, to integrate AI solutions into our products and improve standard operating procedures.
  • Leadership: Display leadership qualities by mentoring junior team members and leading projects.
  • Research and Innovation: Stay current with AI and software engineering research, applying new techniques to enhance existing systems.
  • Code Quality and Review: Maintain high-quality, maintainable code, and participate in code reviews.
  • Data Analysis: Analyze large datasets to extract insights and optimize model performance.
  • Deploy Solutions: Deploy machine learning models and ensure their performance aligns with business needs.
  • Document and Review: Maintain clear documentation of processes and participate in code reviews to ensure high-quality, maintainable code.
  • Project Manager: Manage project, scheduling, client interfacing, deadlines, risk assessments, etc.
  • Supervisor: Manage a team of software engineers and data analysts.

Benefits:
  • Paid Time Off
  • Bonus
  • Paid USA Holidays
  • Flexible Hours (standard 8am-5pm EST)
  • Remote Work
  • Annual International Company Retreats
  • Health and Wellness Programs

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At HR1System, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $ 70,000 to $ 100,000.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Requirements
Education:
  • Master's degree or PhD in Software Engineering, Computer Science, or a related technical field.

Experience:
  • 5+ years of experience in software development and with data structures/algorithms.
  • 2-5+ years of managing a team
  • 5+ years of experience testing and launching software products.
  • 5+ years of experience with software design and architecture.
  • 5+ years of experience with machine learning algorithms, artificial intelligence, deep learning, or natural language processing.
  • 5+ years of project management experience

Technical Skills:
  • Strong proficiency in R and Python, with a deep understanding of data manipulation, analysis, and machine learning workflows.
  • Hands-on experience with cloud platforms such as AWS, GCP, or Azure for deploying ML models.
  • Experience with SQL and NoSQL databases for storing and retrieving large datasets.
  • Knowledge of Docker and Kubernetes for containerization and orchestration.
  • Experience with Git, version control, and experiment tracking tools (e.g., MLflow, DVC).

Skills:
  • Strong leadership skills and a desire to teach and educate a team.
  • Strong understanding of software development lifecycle and agile methodologies.
  • Excellent problem-solving skills and the ability to communicate complex ideas effectively.
  • Versatility in working across different technologies and a willingness to learn new tools and languages as needed.
  • Ability to work independently and collaboratively in a remote, fast-paced environment.

Apply