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Remote Nlp Jobs (NOW HIRING)

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

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

... remote, digital-first environments. Preferred : • Law Review or Journal Editorial Experience ... processing (NLP), computer vision, and related technologies -- to solve real-world problems ...

... a remote, collaborative, and fast-paced environment. • Demonstrated capacity for critical ... processing (NLP), computer vision, and related technologies -- to solve real-world problems ...

Sr Data Scientist GenAI

Dallas, TX · On-site +1

$150K - $210K/yr

Opportunity for advancement Sr Data Scientist (NLP / LLM / Generative AI) Location: Dallas, TX ... This position is temporarily remote. Compensation: $150,000.00 - $210,000.00 per year About Us We ...

... a remote, collaborative, and fast-paced environment. • Demonstrated capacity for critical ... processing (NLP), computer vision, and related technologies -- to solve real-world problems ...

C++ Developer - Remote

$50.25 - $67.50/hr

... a remote, collaborative, and fast-evolving environment. • Demonstrated problem-solving skills ... processing (NLP), computer vision, and related technologies -- to solve real-world problems ...

C++ Developer - Remote

$50.25 - $67.50/hr

... a remote, collaborative, and fast-evolving environment. • Demonstrated problem-solving skills ... processing (NLP), computer vision, and related technologies -- to solve real-world problems ...

... a remote, collaborative, and fast-paced environment. • Demonstrated capacity for critical ... processing (NLP), computer vision, and related technologies -- to solve real-world problems ...

RPA Solutions Architect

Menlo Park, CA · Remote

$64.50 - $85/hr

CA (Remote) Duration: 12+ Months Role Type: Contract Job Location: Menlo Park, CA (Remote) Duration ... NLP-driven automation discovery and customer service workflow optimization - Automation Anywhere ...

... remote environment. Key Responsibilities * Design, build, and deploy AI/ML models for real-world ... Familiarity with NLP, computer vision, or recommendation systems. * Experience building AI SaaS ...

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Remote Nlp information

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$83.5K

$127K

$171K

How much do remote nlp jobs pay per year?

As of Jun 29, 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.

More about Remote Nlp jobs
What cities are hiring for Remote Nlp jobs? Cities with the most Remote Nlp job openings:
What are the most commonly searched types of Nlp jobs? The most popular types of Nlp jobs are:
What states have the most Remote Nlp jobs? States with the most job openings for Remote Nlp jobs include:
Infographic showing various Remote Nlp job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $127,031 per year, or $61.1 per hour.

Full-time

Posted 11 days ago


Key responsibilities

  • Create detailed prompts and responses on various topics to guide AI learning.

  • Evaluate and rank AI-generated English-language responses to improve model accuracy, fluency, and contextual relevance.

  • Test AI models for inaccuracies or biases to validate their reliability across use cases.


Job description

Job Summary:
YO IT Consulting is a fast-growing AI Data Services company that provides AI training data for many of the world’s largest AI companies and foundation-model labs. In this remote contractor role, you will review AI-generated English-language responses, generate expert language content, and provide precise feedback to improve the accuracy and clarity of AI outputs.
Responsibilities:
• Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.
• Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance.
• Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.
Qualifications:
Required:
• Bachelor’s degree (or higher) in Linguistics, English, Translation/Localization, Communications, Journalism, or a related field.
• Expert command of English (C2/Native-level preferred) with Minimum C1 English proficiency required; multilingual ability (professional proficiency in at least one additional language) is strongly preferred.
• Strong skills in grammar, syntax, semantics, pragmatics, discourse structure, and stylistic editing across registers.
• Exceptional attention to detail in identifying meaning drift, ambiguity, inconsistencies, and subtle errors; able to explain corrections clearly in writing.
• Comfortable applying style guides and enforcing consistency (tone, terminology, punctuation, capitalization) across varied content types.
• Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones.
• Strong hands-on experience using tools like Perplexity, Gemini, ChatGPT and others.
Preferred:
• Multilingual ability (professional proficiency in at least one additional language) is strongly preferred.
• Previous experience with AI data training/annotation, editorial QA, localization QA, or professional copyediting is strongly preferred.
Company:
Our Core mission is to develop, deploy, or integrate artificial intelligence (AI) — including machine learning (ML), data analytics, automation, natural language processing (NLP), computer vision, and related technologies — to solve real-world problems, improve decision-making, automate repetitive tasks, and deliver intelligent solutions across industries. Founded in 2018, the company is headquartered in Abu Dhabi, Abu Dhabi Emirate, AE, , with a team of 51-200 employees. The company is currently Growth Stage.