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Remote Natural Language Processing Jobs (NOW HIRING)

In this remote contractor role, you will review AI-generated English-language responses, generate ... automation, natural language processing (NLP), computer vision, and related technologies -- to ...

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 ...

In this remote contractor role, you will review AI-generated English-language responses, generate ... automation, natural language processing (NLP), computer vision, and related technologies -- to ...

In this remote contractor role, you will review AI-generated English-language responses, generate ... automation, natural language processing (NLP), computer vision, and related technologies -- to ...

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 ...

Lead Developer | Kore.AI | Dallas

Addison, TX ยท 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 ...

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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:

Kurdish Language Expert

ESRhealthcare and EXEC STAFF RECRUITERS

New York, NY โ€ข Remote

$40 - $95/hr

Full-time

Posted 5 days ago


Job description

Kurdish Language Expert

50 openings

$40 - $95/hr

Required Skills

Kurdish language proficiency

Linguistic

Written communication

Editing

Translating

Job Description

Job Title: Kurdish 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 โ€” your domain knowledge is what matters.

Key Responsibilities:

Translate, proofread, and edit Kurdish text to ensure linguistic accuracy and clarity.

Provide expert linguistic analysis to improve AI understanding of the Kurdish language.

Collaborate with technical teams to annotate and review data for AI model training.

Develop and refine Kurdish language datasets in alignment with project objectives.

Evaluate and improve the quality of Kurdish language content for various applications.

Participate in regular team discussions, sharing insights on Kurdish language nuances.

Act as a cultural and linguistic consultant for AI and language projects.

Required Skills and Qualifications:

Native or near-native proficiency in Kurdish, with strong written and verbal skills.

Proven experience in translation, editing, and linguistic analysis.

Exceptional attention to detail and command of Kurdish language conventions.

Excellent communication skills, both written and verbal, in Kurdish and English.

Solid understanding of Kurdish dialects and cultural contexts.

Capability to work autonomously in a remote, collaborative environment.

Experience with AI training data, annotation, or related linguistic projects is highly valued.

Preferred Qualifications:

Background in computational linguistics, natural language processing, or a related field.

Familiarity with AI-based language tools and platforms.

Previous experience as an AI trainer or working on language AI initiatives.