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Remote Natural Language Processing Engineer Jobs in New York

unitQ

Account Executive

New York, NY · Remote

... artificial intelligence), NLP (natural language processing), and ML (machine learning ... Experience selling to product and engineering teams. Benefits: * Flexible/unlimited vacation

unitQ

Account Executive

New York, NY · On-site +1

... artificial intelligence), NLP (natural language processing), and ML (machine learning ... Experience selling to product and engineering teams. Benefits: * Flexible/unlimited vacation

Smarsh

Solutions Engineer

New York, NY · On-site +1

$130K - $170K/yr

Understanding of Artificial Intelligence, Natural Language Processing, Machine Learning or Data ... engineering and customer success teams, soliciting input when/as required. * Superb verbal and ...

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All JobsNatural Language Processing Engineer JobsRemote Natural Language Processing Engineer JobsRemote Natural Language Processing Engineer Jobs in New York

Remote Natural Language Processing Engineer information

See New York salary details

$54.2K

$100.7K

$155.9K

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

As of Aug 8, 2026, the average yearly pay for remote natural language processing engineer in New York is $100,670.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,500.00 and $112,700.00 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?

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.
What are the most commonly searched types of Natural Language Processing Engineer jobs in New York? The most popular types of Natural Language Processing Engineer jobs in New York are:
What are popular job titles related to Remote Natural Language Processing Engineer jobs in New York? For Remote Natural Language Processing Engineer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Remote Natural Language Processing Engineer jobs in New York look for? The top searched job categories for Remote Natural Language Processing Engineer jobs in New York are:
What cities in New York are hiring for Remote Natural Language Processing Engineer jobs? Cities in New York with the most Remote Natural Language Processing Engineer job openings:
Remote Natural Language Processing Engineer jobs near you
Infographic showing various Remote Natural Language Processing Engineer job openings in New York as of August 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 100% Remote job distribution, with an average salary of $100,670 per year, or $48.4 per hour.

Technical Product Support Specialist

Zignal Labs

New York, NY • On-site, Remote

$80K - $90K/yr

Full-time

Posted 25 days ago

Job description

About Zignal Labs
Zignal Labs' real-time intelligence technology helps the world's largest organizations protect their people, places, and position. Analyzing billions of data points in real time, Zignal's AI-powered platform accelerates mission-critical decision making by empowering leaders with contextual situational awareness of the information environment.
Fully remote, with Silicon Valley roots and team members in over 20 states, Zignal serves customers around the world. Learn more at zignallabs.com.
Product Support Specialist
Role Overview: As a member of the respected Zignal Labs Product Support team, you will specialize in responding to and resolving customers' technical issues on the Zignal Labs platform. In addition to triage support, you will also serve as the primary liaison between our customers, Customer Success Managers, and our Product and Engineering teams.
In this role, you will have the opportunity to:
  • Develop and deliver scalable, repeatable, and predictable support processes.
  • Deliver technical support and product guidance to Zignal Labs' users, both internal and external, including first and second-level triage and resolution.
  • Provide rotating weekend triage coverage as part of the support schedule.
  • Liaise and manage communications between internal/external customers and the Product and Engineering teams on bug identification, tracking, and resolution.
  • Work closely with customer-facing leadership teams to develop a strategy and execution path for support and documentation.
  • Create internal and external product support documentation, including updates to the customer-facing Zignal Knowledge Base.
  • Map customer journeys in a documented form and contribute to presentation materials.
  • Enable Customer Value leadership to enforce program structure to drive product adoption and increase usage.
  • Achieve positive outcomes and feedback from internal and external customers.

In order to be successful, you will need:
  • 2+ years of prior experience in a customer-facing product/technical support role for a SaaS product.
  • Experience with ticketing and support software such as JIRA, Zendesk, Freshdesk, or similar tools.
  • Prior experience with an OSINT (Open Source Intelligence) tool.
  • Experience with Claude, N8N, and other agentic tools.
  • Outstanding time management skills with a proven ability to complete assignments on time with a positive "can-do" attitude.
  • Strong sense of duty and pride in resolving technical issues, showing sincere caring and empathy.
  • Exceptional written and verbal communication skills; flawless conflict resolution and crisis management skills.
  • Problem-solving skills to perform root cause analysis and identify solutions to mitigate reoccurring issues.
  • Ability to thrive in a fast-paced environment working with cross-functional stakeholders.

Plusses:
  • Natural language processing (NLP) techniques: parts of speech tagging, named entity recognition, sentiment analysis, etc.
  • Advanced machine learning algorithms and statistics (regression, modeling, clustering, etc.).
  • Computer vision techniques and large-scale graph analytics.
  • Experience with media monitoring and analysis for communications, security, and risk management.
  • Salesforce and Excel experience.
  • Familiarity with social media data/analytics and Boolean operators.
  • Understanding of API query language.

Locations NY, DC Remote status Fully Remote Yearly salary $80,000 - $90,000 Employment type Full-time

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