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From Home Natural Language Processing Jobs (NOW HIRING)

Teklead Corp

Sr Chatbot Engineer

Westlake Village, CA · On-site

$68 - $78/hr

Description: ● Work on state of the art Machine Learning, Natural Language Processing and Gen AI projects. ● Learn new technologies and focus on what you're passionate about. Requirements :: ● ...

University of Florida

Post Doc Associate

Gainesville, FL · On-site

$61K - $65K/yr

Working experience with large language models, data science using EHRs, machine learning, data mining, and natural language processing are preferred. Develop large language models and other methods ...

Clover Health

Senior Machine Learning Engineer

$125K - $165K/yr

Clover uses Machine Learning/Natural Language Processing to leverage our data to help keep ... From Clover's inception, Diversity & Inclusion have always been key to our success. We are an Equal ...

Photon

Gen AI Engineer -McKinney, TX

Dallas, TX

Integrate prompt designs into natural language processing (NLP) models. * Ensure seamless integration of prompt engineering strategies into existing AI systems. * Develop and maintain RESTful APIs ...

MDAEdge

ML Engineer / Data Scientist

Cupertino, CA · On-site

... Natural Language Processing (NLP). • Good exposure to Agentic / Multi-agent frameworks. • End-to-end experience in developing machine learning and deep learning solutions, including predictive ...

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How much do from home natural language processing jobs pay per hour?

As of Jul 25, 2026, the average hourly pay for from home natural language processing in the United States is $16.74, according to ZipRecruiter salary data. Most workers in this role earn between $13.46 and $19.23 per hour, depending on experience, location, and employer.

How can I make 2000 a week working from home?

A from home natural language processing professional can increase earnings by taking on multiple freelance projects, specializing in high-demand skills like data annotation or model training, and building a strong portfolio. Earning $2000 weekly typically requires consistent work, advanced skills, and possibly working with multiple clients or platforms that pay competitive rates. Certifications in NLP tools or programming languages like Python can also enhance earning potential.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer, AI research director, or executive roles like AI CTO. These roles often require advanced skills in deep learning, natural language processing, and extensive experience, and may involve leadership, strategic planning, or specialized technical expertise.

Is NLP a dead field?

Natural Language Processing (NLP) is an active and rapidly evolving field with ongoing research and commercial applications. NLP specialists work with machine learning, deep learning, and tools like Python and TensorFlow to develop language models, and demand remains strong across industries such as tech, healthcare, and finance.

Which 3 jobs will survive AI?

In the field of natural language processing, jobs such as data scientists, AI specialists, and machine learning engineers are expected to persist as they involve complex problem-solving, model development, and domain expertise that are difficult to automate fully. These roles require advanced skills in programming, statistical analysis, and understanding of language models, making them more resilient to AI automation.
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From Home Natural Language Processing jobs near you
ML Postdoc Researcher - LLMs & Generative AI

ML Postdoc Researcher - LLMs & Generative AI

Truveta

Seattle, WA • On-site

Full-time

Posted 20 days ago

Job description

Job Summary:
Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. They are seeking a highly motivated Machine Learning Postdoctoral Researcher to join their AI research team and contribute to innovative projects in Large Language Modeling and clinical data analysis.
Responsibilities:
• Collaborate with researchers and engineers to design, develop, and refine large language models and generative models for various applications.
• Utilize your expertise in machine learning and natural language processing to develop novel algorithms and methodologies for generative modeling tasks.
• Implement, train, and fine-tune LLM and GPT-like models on large-scale datasets to ensure optimal performance and accuracy.
• Stay up to date with the latest research advancements and techniques in the field of language modeling, generative modeling, and machine learning.
• Deliver the next generation of innovation in trustworthy healthcare.
Qualifications:
Required:
• Ph.D. in Computer Science, Electrical Engineering, or a related field, with a focus on machine learning, natural language processing (NLP), Large Language Models (LLMs), multi-modal foundation models, and generative AI
• Strong theoretical and practical background in NLP including experience with state-of-the-art architectures
• Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow, etc.) and libraries commonly used in NLP and Generative AI
• Solid programming skills in Python and the ability to write clean, efficient, and well-documented code
• Excellent problem-solving and troubleshooting abilities, along with a strong analytical mindset and persistence in resolving problems
• Strong communication skills and the ability to work effectively in a collaborative research environment
Preferred:
• Experience with distributed parallel training, large-scale multi-modal foundation and generative models
• Familiarity with parameter-efficient tuning techniques, Reinforcement Learning from Human Feedback (RLHF), and prompt engineering techniques
• Familiarity with training multi-modal foundation models
• Familiarity with cloud-based infrastructure and experience deploying large-scale machine learning models in production environments
• A track record of publications and contributions to the machine learning and natural language processing communities
Company:
Truveta is a healthcare data platform that provides EHR data for scientific research. Founded in 2020, the company is headquartered in Bellevue, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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