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Remote Natural Language Processing Engineer Jobs

Zenlaw

Full-Stack Engineer (Remote)

New York, NY · On-site +1

Python (machine learning, Natural Language Processing, string manipulation) You care about ... Due to the remote nature of this role, we are unable to provide visa sponsorship.

kgs

AWS Certified AI Practitioner (Remote)

Nashville, TN · Remote

$62.50 - $82/hr

Design and implement natural language processing (NLP) and sentiment analysis solutions using ... Proficiency in scripting or programming languages such as Python for ML model development, AWS ...

kgs

AWS Certified AI Practitioner (Remote)

Nashville, TN · Remote

$62.50 - $82/hr

Design and implement natural language processing (NLP) and sentiment analysis solutions using ... Proficiency in scripting or programming languages such as Python for ML model development, AWS ...

Collabera

Support Engineer

Baton Rouge, LA · Remote

$30 - $35/hr

Job Title - Artificial Intelligence / Machine Learning Support Engineer Remote - 06 weeks, then ... Learning, and natural language processing, with a specific emphasis on data analysis, data ...

LMI

AI/ML Engineer - Clearance Required

Develop natural language processing and generative AI solutions, including large language models ... Engineer reusable model services, application programming interfaces, containers, and software ...

LMI

Data Engineer - Clearance Required

$117K - $140K/yr

The Data Engineer will design, secure, and sustain enterprise data pipelines and platforms that ... analytics, natural language processing, generative AI, automation, dashboards, and mission ...

CREATIVE GLOBAL CONSULTING

Operations Analyst

Remote US Citizen REQUIRED SKILLS * Previous operations experience * DevOps * Deep analytical ... Experience implementing solutions that utilize robotic process automation (RPA), natural language ...

LMI

Data Engineer - Clearance Required

$117K - $140K/yr

... analytics, natural language processing, generative AI, automation, dashboards, and mission ... Job Locations US-Remote

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Remote Natural Language Processing Engineer information

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

As of Sep 14, 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 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.

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.

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 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.

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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 September 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, 1% Temporary, and 4% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $92,018 per year, or $44.2 per hour.

SENIOR AMAZON BEDROCK/RAG ENGINEER - Remote

Midlothian, VA • Remote

Axyde Analytics
See more jobs at Axyde Analyticsexternal

$99K - $135K/yr

Full-time

Posted 26 days ago

Job description

Axyde Analytics seeks a senior Amazon Bedrock engineer to configure secure retrieval-augmented generation, document processing, structured extraction, source attribution, and policy-mapping capabilities for a federal analytics platform.

Responsibilities

  • Configure Amazon Bedrock managed Knowledge Bases and approved managed retrieval components.

  • Implement secure ingestion and indexing of approved websites, linked documents, PDFs, and enterprise data.

  • Configure foundation models, embedding models, chunking, retrieval, prompts, schemas, and guardrails.

  • Extract structured issues, requirements, entities, relationships, and exact supporting source excerpts.

  • Implement citation-backed responses and traceable mappings between source documents and Government directives.

  • Ensure prompts and Government data remain within the authorized environment and are not used to train external models.

  • Develop measurable evaluation criteria for extraction accuracy, retrieval quality, citation correctness, and hallucination control.

  • Support OCR and managed natural-language-processing services when approved.

  • Document exact models, versions, configurations, limitations, and dependencies.

  • Support live demonstrations, production hardening, monitoring, and continuous improvement.

Required Experience

  • Direct production experience with Amazon Bedrock and Bedrock Knowledge Bases.

  • Experience with managed web crawling, linked-document ingestion, parsing, embeddings, vector retrieval, structured extraction, and RAG evaluation.

  • Strong understanding of prompt security, model governance, guardrails, source attribution, and sensitive-data handling.

  • Experience implementing AI solutions in federal, healthcare, financial, or similarly regulated environments.

  • Ability to work exclusively within an approved AWS managed-service architecture.

Current Baseline

The current baseline includes Amazon Bedrock, managed Knowledge Bases, approved Bedrock-managed retrieval, Claude Sonnet, Titan Text Embeddings, Guardrails, S3, Step Functions, and AWS-native security and monitoring. Exact services, models, versions, and regions will be governed by Axyde’s final approved technical baseline.

Engagement

U.S. citizenship required. Remote within the United States. Immediate availability for proposal validation and demonstration development is preferred. Continued work is contingent upon award.