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Remote Natural Language Processing Engineer Jobs

Clover Health

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 ...

Photon

Developer | Kore.AI | Dallas

Addison, TX · On-site +1

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 ...

Photon

Lead Developer | Kore.AI | Dallas

Addison, TX · On-site +1

$112K - $140K/yr

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 ...

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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 Jun 16, 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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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:
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.
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Clover Health

Remote

$125K - $165K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 28 days ago

Job description

At Counterpart Health, we are transforming healthcare and improving patient care with our innovative primary care tool, Counterpart Assistant. By supporting Primary Care Physicians (PCPs), we are able to deliver improved outcomes to our patients at a lower cost through early diagnosis and longitudinal care management of chronic conditions.
We're looking for a Senior Machine Learning Engineer to help us build a revolutionary new health care business. Clover uses Machine Learning/Natural Language Processing to leverage our data to help keep beneficiaries healthy and out of the hospital by getting them targeted care. By predicting avoidable adverse events, our ML/NLP/LLM infrastructure is central to working on our central mission, and has a direct impact on our beneficiaries. You will help build systems and tools that support the data needs of a diverse organization and contribute to the expansion of the Machine Learning/Natural Language Processing/LLM capabilities of our Data Platform.
As a Senior Machine Learning Engineer, you will:
  • Design, implement and validate high-reliability, distributed platforms for machine learning, natural language processing, and LLMs.
  • Create, debug, interpret and improve production machine learning and natural language processing models.
  • Build the tools and validation processes that help Clover translate insights into action at scale.
  • Use existing commercial and open source tools to create a robust production platform.
  • Work closely with Clover's Data Science and Engineering teams to ensure that the ML/NLP/LLM Platform is providing real value.
  • Document, iterate, and provide tutorials to ensure Data Scientists are able to use your tools easily.

You will love this job if:
  • You want to create impact with your work by finding machine learning-driven insights in the data to unlock value and improve health outcomes for real people.
  • You are comfortable acting autonomously in ambiguous and changing environments.
  • You value collaboration and feedback. You can communicate technical vision in clear terms- to your teammates and across the technology team more broadly. You are willing and able to help your teammates grow by demonstrating best practices, providing (and receiving) respectful and constructive feedback, and disclosing your unique insights with everyone.
  • You enjoy working in a fluid environment, defining priorities that adapt to our larger goals. You can bring clarity to ambiguity while remaining open-minded to new information that might change your mind.
  • You are not hesitant to jump in to help fix things that are broken and you are encouraged to make sustainable systems. You are happy to fill in the gaps to reach a goal where necessary, even if it does not always fit your job description.
  • You have a genuine interest in what good technology can do to help people and have a positive attitude about tackling hard problems in an important industry.

You should get in touch if:
  • You have 5+ years of experience in Machine Learning Engineering roles in technology enabled companies. Healthcare experience preferred but not required.
  • You have experience with Python, Python data science libraries (numpy, pandas, sklearn, tensorflow, pytorch, etc.), and deploying Python apps into production environments.
  • You have experience with Natural Language Processing and/or LLMs.
  • You have a solid foundation in feature engineering, feature selection, and machine learning techniques.
  • You have experience interpreting, modifying, and debugging the inputs and outputs of production ML/NLP/LLM models.
  • You have both built and refactored complex distributed systems, especially ML/NLP/LLM systems.
  • You have scaled the impact of other engineers and data scientists through mentorship, development of reusable libraries, and documentation.

Benefits Overview:
  • Financial Well-Being: Our commitment to attracting and retaining top talent begins with a competitive base salary and equity opportunities. Additionally, we offer a performance-based bonus program, 401k matching, and regular compensation reviews to recognize and reward exceptional contributions.
  • Physical Well-Being: We prioritize the health and well-being of our employees and their families by providing comprehensive medical, dental, and vision coverage. Your health matters to us, and we invest in ensuring you have access to quality healthcare.
  • Mental Well-Being: We understand the importance of mental health in fostering productivity and maintaining work-life balance. To support this, we offer initiatives such as No-Meeting Fridays, monthly company holidays, access to mental health resources, and a generous flexible time-off policy. Additionally, we embrace a remote-first culture that supports collaboration and flexibility, allowing our team members to thrive from any location.
  • Professional Development: Developing internal talent is a priority for Clover. We offer learning programs, mentorship, professional development funding, and regular performance feedback and reviews.

Additional Perks:
  • Employee Stock Purchase Plan (ESPP) offering discounted equity opportunities
  • Reimbursement for office setup expenses
  • Monthly cell phone & internet stipend
  • Remote-first culture, enabling collaboration with global teams
  • Paid parental leave for all new parents
  • And much more!

About Counterpart Health: In 2018, Clover Health set out to do something unprecedented: build a clinically intuitive, AI-enabled solution that fits within physicians' workflows to help support the earlier diagnosis and management of chronic conditions.
Years later, that vision is a reality, with thousands of practitioners using Counterpart Assistant during patient visits to improve disease management, reduce medical expenses, and drive success in value-based care.
With an exceptional team of value-based care and technology experts, Counterpart Health is driving value-based care at the speed of software.
Counterpart Health is a subsidiary of Clover Health. From Clover's inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, perspectives, opinions, and backgrounds, who share a passion for improving people's lives. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one's identity. All of our employee's points of view are key to our success, and inclusion is everyone's responsibility.
#LI-REMOTE
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are an E-Verify company.
Final pay is based on several factors including but not limited to internal equity, market data, and the applicant's education, work experience, certifications, etc.
A reasonable estimate of the base salary range for this role is:
$150,000-$200,000 USD
Clover Health Services logo

About Clover Health Services

Sourced by ZipRecruiter

Clover Health Services is a dynamic provider of travel nurse staffing services. Our Corporate staffs are the finest in the industry and are committed to paying attention to details when it comes to client requirements. Our frontline team of experienced recruiters is very friendly and well-informed, always willing and ready to help nurses with every phase of your travel assignment. Our Account Managers have a thorough understanding of hospital requirements and are quick to address all the requests from hospitals and also work seamlessly with the compliance department in placing nurses against open jobs on time. Clover partners with first-class hospitals across the nation which gives our nurses a variety of employment options to choose from. Added to this, our 24x7 helpline with professional support staff promptly address any special requests you may have and ensure all your needs are promptly addressed

Industry

Recruiting and staffing services

Company size

201 - 500 Employees

Headquarters location

White Plains, NY, US

Year founded

2016

Social media

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