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Remote Nlp Jobs (NOW HIRING)

Codertal

NLP Engineer

Union, NJ · Remote

Remote - European Union Contract Type: B2B Contract Experience Level: Mid to Senior About the Role Codertal is seeking an experienced NLP Engineer to join our AI team and develop ...

@Orchard

AI Engineer - Gen AI & NLP

Washington, DC · Remote

Artificial Intelligence AI Engineer - Gen AI, NLP Talent Pool for upcoming assignments Remote, Work-from-Home Must be a U.S. Citizen able to obtain Secret Clearance. @Orchard LLC is anticipating a ...

Hirevouch

Senior AI Research Scientist (NLP)

Continuously research and apply the latest techniques in NLP to supply chain problems. * Communicate your research and results to non-technical stakeholders. * Lay the research foundations for ...

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How much do remote nlp jobs pay per year?

As of Jun 6, 2026, the average yearly pay for remote nlp in the United States is $127,031.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $143,500.00 per year, depending on experience, location, and employer.

What types of projects or daily tasks are typical for a Remote NLP professional?

As a Remote NLP professional, your daily work often involves developing, testing, and deploying models that analyze or generate human language, such as chatbots, text classifiers, sentiment analyzers, or recommendation systems. You might spend time cleaning and preprocessing large datasets, collaborating with data scientists or engineers on model optimization, and communicating results to non-technical stakeholders. Remote NLP roles also require strong documentation and regular virtual check-ins to stay aligned with project goals. This environment offers the flexibility of remote work while engaging with innovative projects at the intersection of AI and language.

What is a Remote NLP job?

A Remote NLP (Natural Language Processing) job involves working on language-related AI tasks such as text analysis, machine learning models, and chatbot development from a remote location. These roles typically require expertise in programming languages like Python, NLP libraries (e.g., spaCy, NLTK, or Transformers), and machine learning techniques. Remote NLP professionals collaborate with teams online to develop language models, improve search algorithms, and enhance automated text processing systems.

What are the key skills and qualifications needed to thrive in the Remote Nlp position, and why are they important?

To thrive as a Remote NLP (Natural Language Processing) professional, you need strong programming skills (often in Python), a solid understanding of machine learning and linguistics, and typically a degree in computer science or a related field. Experience with NLP libraries such as NLTK, spaCy, or Hugging Face Transformers, and familiarity with cloud-based development platforms are highly beneficial. Outstanding communication, problem solving, and self-motivation are crucial for effective collaboration in a remote environment. These combined technical and soft skills are essential for building robust language-based AI solutions while staying productive and engaged as part of a distributed team.

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Remote Nlp jobs near you

Machine Learning Engineer in NLP (Contract) - Remote

Cloudacio

Manhattan, NY • Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

About Cloudacio Cloudacio stands at the forefront of cloud technology, pioneering advanced, AI-driven solutions to revolutionize how businesses leverage the cloud. Our core values revolve around relentless innovation, technical excellence, and a steadfast commitment to delivering cutting-edge cloud services. Embracing a remote and flexible work philosophy, we offer our team the freedom to collaborate and innovate from anywhere in the world.

Role Overview As a Machine Learning Engineer specializing in Natural Language Processing (NLP) at Cloudacio, you will develop and refine advanced solutions in language understanding, text generation, and semantic analysis. Working with Large Language Models (LLMs) and the latest NLP technologies, your role will be pivotal in project success and delivering client-focused AI solutions. Proficiency in English is essential for effective communication with clients.

Availability for scheduled client meetings and responsiveness on Slack during EST business hours is required. Key Responsibilities Develop and implement NLP solutions with a focus on LLMs and semantic analysis. Attend client meetings, offering pre-sales support and NLP-focused technical insights.

Responsiveness via Slack during EST business hours. Engage in client-facing roles, translating business needs into robust NLP solutions. Collaborate with cross-functional teams to integrate NLP technologies into broader AI solutions.

Stay updated with the latest NLP developments, enhancing our offerings continuously. Core Skills & Technologies NLP and LLM Expertise: Profound knowledge of NLP and transformer models including LLMs (e.g., GPT-4, Llama-2), RoBERTa, T5, ELECTRA, and BERT. Deep Learning and Frameworks: Strong proficiency in TensorFlow and PyTorch for developing complex NLP models.

Data Handling: Skilled in data annotation and preprocessing for large NLP datasets. Cloud Platforms: Familiarity with cloud environments like AWS, Azure, or GCP for deploying and managing NLP solutions. Excellent English communication skills for client-facing roles and technical discussions.

Consulting Experience: Previous consulting or startup environment experience. Entrepreneurial Spirit: Ability to independently handle customer interactions and lead projects. What We Offer Flexible work arrangements to accommodate project needs and personal preferences.

Growth potential in a dynamic environment focusing on AI and cloud technologies. A culture that values innovation, communication, and proactive problem-solving. Opportunity to work on innovative projects with significant real-world impact.

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