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Remote Natural Language Processing Jobs (NOW HIRING)

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 ...

WorkforceFair

Remote AI Trainer Prompt Writer

San Jose, CA · Remote

$35 - $150/hr

Join our team as a Remote AI Trainer Prompt Writer and play a vital role in shaping the future of ... Interest in AI, machine learning, or natural language processing * Ability to work independently ...

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 ...

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 ...

SAIC

Data Scientist

Mclean, VA · On-site +1

$200K - $240K/yr

... for Remote Work: ORA_ON_SITE Description SAIC is seeking a Data Scientist to join our team to provide Subject Matter expertise and support specializing in natural language(NLP) processing and ...

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Remote Natural Language Processing information

What is a Remote Natural Language Processing (NLP) 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

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.