ZipRecruiter

Log In

2

Remote Natural Language Processing Jobs (NOW HIRING)

Weekday AI

Machine Learning & NLP Expert

$80 - $110/hr

... remote opportunity requiring approximately 20 hours per week . Requirements Key Responsibilities * Design challenging, real-world machine learning and natural language processing tasks covering areas ...

Overture Partners

Prompt Engineer- Pipeline

Our team values creativity, expertise in natural language processing, and a passion for developing intelligent and responsive AI systems. We are looking for a talented Prompt Engineer to join our ...

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 ...

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

Implement natural language processing (NLP) and natural language understanding (NLU) capabilities to enable intelligent and context-aware conversations. * Ensure code quality and adherence to best ...

Photon

Lead Developer | Kore.AI | Dallas

Addison, TX · On-site +1

$112K - $140K/yr

Implement natural language processing (NLP) and natural language understanding (NLU) capabilities to enable intelligent and context-aware conversations. * Ensure code quality and adherence to best ...

next page

Showing results 1-20

All Jobsremote JobsRemote Natural Language Processing Jobs

Remote Natural Language Processing information

What is a remote natural language processing job?

A Remote Natural Language Processing (NLP) job involves working with computer systems that can understand, interpret, and generate human language. Professionals in this field typically develop algorithms and models to process text or speech, enabling applications like chatbots, translation services, sentiment analysis, and more. Working remotely means that all tasks, collaboration, and communication are conducted online, allowing flexibility in location. This role usually requires a background in computer science, linguistics, or data science, along with experience in machine learning and NLP frameworks.

What are some common challenges faced by professionals working remotely in natural language processing roles, and how can they be addressed?

Professionals in remote Natural Language Processing (NLP) roles often face challenges such as effective communication with distributed teams, staying updated with fast-evolving NLP technologies, and managing large datasets securely. To address these, it's important to establish regular check-ins with team members, participate in virtual communities and training, and use secure, cloud-based collaboration tools for data handling. Proactively engaging in code reviews and knowledge-sharing sessions also helps maintain alignment and fosters innovation within remote NLP teams.

What are the key skills and qualifications needed to thrive as a remote natural language processing specialist, and why are they important?

To thrive as a Remote Natural Language Processing (NLP) Specialist, you need strong expertise in linguistics, programming (especially Python), and a solid foundation in machine learning, typically supported by a relevant degree in computer science or computational linguistics. Familiarity with NLP frameworks and libraries such as NLTK, spaCy, and TensorFlow, as well as experience working with cloud platforms and version control systems, is essential. Excellent problem-solving abilities, communication skills, and the capacity to work independently are vital soft skills for remote collaboration and project delivery. These skills ensure the development of effective language models and applications, smooth team communication, and the ability to meet project goals in a remote environment.

What is the difference between Remote Natural Language Processing vs Remote Data Scientist?

AspectRemote Natural Language ProcessingRemote Data Scientist
Required credentialsDegree in Computer Science, Data Science, or Linguistics; experience with NLP toolsDegree in Data Science, Statistics, or related fields; programming skills
Work environmentFocus on language data, text analysis, NLP modelsBroader data analysis, statistical modeling, machine learning
Employer usageTech companies, AI startups, research institutionsTech firms, finance, healthcare, consulting
Search intentJobs involving language processing, NLP projectsData analysis, predictive modeling, data-driven insights

Remote Natural Language Processing specialists focus on developing and implementing language-based AI models, while Remote Data Scientists work on analyzing diverse data sets to inform business decisions. Both roles require strong technical skills, but NLP roles are more specialized in language data, whereas Data Scientists handle a broader range of data types.

What cities are hiring for Remote Natural Language Processing jobs?

Cities with the most Remote Natural Language Processing job openings:

What are the most commonly searched types of Natural Language Processing jobs?

The most popular types of Natural Language Processing jobs are:

What states have the most Remote Natural Language Processing jobs?

States with the most job openings for Remote Natural Language Processing jobs include:

Remote Natural Language Processing jobs near you

Natural Language Processing Engineer- Pipeline

Remote

Overture Partners
Recruiting and Staffing Services • 201 - 500 employees
Learn more about Overture Partnersexternal

Contractor

Re-posted 26 days ago

Job description

Our company is at the forefront of artificial intelligence, specializing in the development of cutting-edge natural language processing technologies. We are dedicated to advancing how machines understand and interact with human language, transforming communication and data analysis across various industries. We value innovation, precision, and a collaborative approach in our quest to develop intelligent NLP solutions.
We are looking for a skilled Natural Language Processing Engineer to join our team. This role involves developing and implementing NLP systems that can effectively interpret, analyze, and understand human language. The ideal candidate will have a deep understanding of NLP techniques and a passion for solving complex linguistic and computational challenges.
Key Responsibilities:
  • Design and develop NLP systems and applications.
  • Implement algorithms to process and analyze large amounts of natural language data.
  • Develop systems for text representation, semantic extraction, data retrieval, and natural language understanding.
  • Collaborate with cross-functional teams to integrate NLP capabilities into products and services.
  • Continuously update and maintain NLP models for accuracy and efficiency.
  • Conduct research and stay updated on the latest advancements in NLP.
  • Evaluate and refine NLP systems based on user feedback and performance metrics.
  • Document NLP processes and algorithms for knowledge sharing.

Qualifications:
  • Master's or Ph.D. in Computational Linguistics, Computer Science, AI, or related fields.
  • Proven experience as an NLP Engineer or similar role.
  • Strong programming skills in Python, Java, or similar languages.
  • Experience with NLP tools and frameworks (e.g., NLTK, SpaCy, TensorFlow).
  • Deep understanding of text representation techniques (e.g., n-grams, bag of words, sentiment analysis).
  • Familiarity with machine learning algorithms and concepts.
  • Excellent analytical and problem-solving skills.
  • Strong communication and teamwork abilities.
  • Experience with machine learning and deep learning approaches to NLP is advantageous.

Summary:
Develop systems capable of interpreting and analyzing human language, requiring a deep understanding of NLP techniques and a passion for tackling linguistic and computational challenges. Responsibilities include designing NLP systems, implementing algorithms for natural language data analysis, maintaining model accuracy, and collaborating with teams to integrate NLP into various products and services.
JOB-24368

Apply