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Remote Natural Language Processing Engineer Jobs

Senior Machine Learning Engineer

$125K - $165K/yr

Clover uses Machine Learning/Natural Language Processing to leverage our data to help keep ... Additionally, we embrace a remote-first culture that supports collaboration and flexibility ...

... Systems Engineer - Capped at $320 Process Engineer - Capped at $320 Renewable Energy Engineer ... Interest in AI, machine learning, or natural language processing * Ability to work independently ...

AI As a Lead Developer at Kore.AI, you will be responsible for leading a team of developers in ... Implement natural language processing (NLP) and natural language understanding (NLU) capabilities ...

AI As a Lead Developer at Kore.AI, you will be responsible for leading a team of developers in ... Implement natural language processing (NLP) and natural language understanding (NLU) capabilities ...

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

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 ...

AI Engineer - ICAM

WV · Remote

$103K - $123K/yr

Experience with natural language processing (NLP), semantic search, vector databases, and knowledge ... Remote Work Location: Any Location / Remote Additional Work Locations: Total Rewards at GDIT: Our ...

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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 Jul 13, 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:
What states have the most Remote Natural Language Processing Engineer jobs? States with the most job openings for Remote Natural Language Processing Engineer jobs include:
What job categories do people searching Remote Natural Language Processing Engineer jobs look for? The top searched job categories for Remote Natural Language Processing Engineer jobs are:
Infographic showing various Remote Natural Language Processing Engineer job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $92,018 per year, or $44.2 per hour.

Kinyarwanda Language Expert remote

ESRhealthcare and EXEC STAFF RECRUITERS

New York, NY • Remote

Full-time

Posted 16 days ago


Job description

Kinyarwanda Language Expert

Job Type: Contractor

Location: Remote

Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Key Responsibilities:

Translate, review, and edit content into and from Kinyarwanda, ensuring accuracy and cultural appropriateness.

Collaborate with AI trainers to refine and enhance Kinyarwanda language datasets and training materials.

Evaluate and correct natural language data for grammar, context, and clarity.

Provide linguistic expertise to support the development of language processing tools and AI models.

Maintain high standards of quality and consistency in all written and verbal communication.

Offer insights on Kinyarwanda linguistic nuances, idioms, and cultural references.

Work cross-functionally with other language experts and project stakeholders to meet deadlines and objectives.

Required Skills and Qualifications:

Native or near-native proficiency in Kinyarwanda, with advanced written and verbal communication skills.

Proven experience in translation, editing, or linguistics involving Kinyarwanda.

Exceptional attention to detail, particularly in grammatical accuracy and contextual meaning.

Strong reading comprehension and analytical abilities in both Kinyarwanda and English.

Ability to work independently and collaboratively in a remote environment.

Familiarity with digital tools and language technology platforms.

Demonstrated commitment to linguistic integrity and quality.

Preferred Qualifications:

Experience as an AI language trainer or in natural language processing projects.

Background in education, linguistics, or localization for Kinyarwanda language.

Understanding of the latest trends in AI and language technology.

As a Kinyarwanda language expert AI trainer, you will play a critical role in shaping the accuracy and cultural resonance of cutting-edge language technologies. If you are passionate about language and eager to make an impact on innovative projects, we invite you to bring your expertise to our customer's team.