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Remote Nlp Practitioner Jobs (NOW HIRING)

Apetan Consulting

Data Scientist

Chicago, IL · Remote

Chicago IL - Remote Senior Data Scientist - AI, Machine Learning, NLP & Risk Analytics. This is ... Hyatt is specifically looking for a hands-on practitioner capable of building production-grade AI ...

6sense

Sr. Data Scientist

San Francisco, CA · Remote

$162K - $238K/yr

Develop NLP and transformer-based systems for enterprise-scale applications. * Build Agentic AI ... remote Notice of Collection and Use of Personal Information for California Residents: California ...

6sense

Sr. Data Scientist

San Francisco, CA · Remote

$162K - $238K/yr

Develop NLP and transformer-based systems for enterprise-scale applications. * Build Agentic AI ... remote Notice of Collection and Use of Personal Information for California Residents: California ...

Eliassen Group

Senior AI/ML Engineer

Pierre, SD · Remote

$90 - $100/hr

Remote Reference ID: JN -052026-107129 Date Posted: 05/26/2026 Shortcut: * Description ... Develop end-to-end AI/ML/NLP plans compliant with cybersecurity policies. * Apply software ...

Eliassen Group

Senior AI/ML Engineer

Madison, WI · Remote

$90 - $100/hr

Remote Reference ID: JN -052026-107129 Date Posted: 05/26/2026 Shortcut: * Description ... Develop end-to-end AI/ML/NLP plans compliant with cybersecurity policies. * Apply software ...

Eliassen Group

Senior AI/ML Engineer

Denver, CO · Remote

$90 - $100/hr

Remote Reference ID: JN -052026-107129 Date Posted: 05/26/2026 Shortcut: * Description ... Develop end-to-end AI/ML/NLP plans compliant with cybersecurity policies. * Apply software ...

Eliassen Group

Senior AI/ML Engineer

Baton Rouge, LA · Remote

$90 - $100/hr

Remote Reference ID: JN -052026-107129 Date Posted: 05/26/2026 Shortcut: * Description ... Develop end-to-end AI/ML/NLP plans compliant with cybersecurity policies. * Apply software ...

Eliassen Group

Senior AI/ML Engineer

Des Moines, IA · Remote

$90 - $100/hr

Remote Reference ID: JN -052026-107129 Date Posted: 05/26/2026 Shortcut: * Description ... Develop end-to-end AI/ML/NLP plans compliant with cybersecurity policies. * Apply software ...

Eliassen Group

Senior AI/ML Engineer

Boise, ID · Remote

$90 - $100/hr

Remote Reference ID: JN -052026-107129 Date Posted: 05/26/2026 Shortcut: * Description ... Develop end-to-end AI/ML/NLP plans compliant with cybersecurity policies. * Apply software ...

Eliassen Group

Senior AI/ML Engineer

Springfield, IL · Remote

$90 - $100/hr

Remote Reference ID: JN -052026-107129 Date Posted: 05/26/2026 Shortcut: * Description ... Develop end-to-end AI/ML/NLP plans compliant with cybersecurity policies. * Apply software ...

Eliassen Group

Senior AI/ML Engineer

Columbus, OH · Remote

$90 - $100/hr

Remote Reference ID: JN -052026-107129 Date Posted: 05/26/2026 Shortcut: * Description ... Develop end-to-end AI/ML/NLP plans compliant with cybersecurity policies. * Apply software ...

Eliassen Group

Senior AI/ML Engineer

Cheyenne, WY · Remote

$90 - $100/hr

Remote Reference ID: JN -052026-107129 Date Posted: 05/26/2026 Shortcut: * Description ... Develop end-to-end AI/ML/NLP plans compliant with cybersecurity policies. * Apply software ...

Eliassen Group

Senior AI/ML Engineer

Montgomery, AL · Remote

$90 - $100/hr

Remote Reference ID: JN -052026-107129 Date Posted: 05/26/2026 Shortcut: * Description ... Develop end-to-end AI/ML/NLP plans compliant with cybersecurity policies. * Apply software ...

Eliassen Group

Senior AI/ML Engineer

Charleston, WV · Remote

$90 - $100/hr

Remote Reference ID: JN -052026-107129 Date Posted: 05/26/2026 Shortcut: * Description ... Develop end-to-end AI/ML/NLP plans compliant with cybersecurity policies. * Apply software ...

Eliassen Group

Senior AI/ML Engineer

Nashville, TN · Remote

$90 - $100/hr

Remote Reference ID: JN -052026-107129 Date Posted: 05/26/2026 Shortcut: * Description ... Develop end-to-end AI/ML/NLP plans compliant with cybersecurity policies. * Apply software ...

Eliassen Group

Senior AI/ML Engineer

Bismarck, ND · Remote

$90 - $100/hr

Remote Reference ID: JN -052026-107129 Date Posted: 05/26/2026 Shortcut: * Description ... Develop end-to-end AI/ML/NLP plans compliant with cybersecurity policies. * Apply software ...

Eliassen Group

Senior AI/ML Engineer

Lincoln, NE · Remote

$90 - $100/hr

Remote Reference ID: JN -052026-107129 Date Posted: 05/26/2026 Shortcut: * Description ... Develop end-to-end AI/ML/NLP plans compliant with cybersecurity policies. * Apply software ...

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Remote Nlp Practitioner information

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How much do remote nlp practitioner jobs pay per year?

As of Jun 21, 2026, the average yearly pay for remote nlp practitioner in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote NLP Practitioner, and why are they important?

To thrive as a Remote NLP Practitioner, you need a strong understanding of natural language processing techniques, machine learning fundamentals, and a relevant academic background such as computer science or linguistics. Familiarity with programming languages like Python, NLP libraries (e.g., NLTK, spaCy, or Hugging Face), and cloud-based collaboration tools is typically required. Excellent problem-solving, self-motivation, and clear virtual communication skills help practitioners work effectively in distributed teams and with clients. These skills and qualities are crucial for delivering robust NLP solutions while maintaining productivity and collaboration in a remote work environment.

What are some common challenges faced by Remote NLP Practitioners, and how can they be addressed?

Remote NLP Practitioners often encounter challenges related to maintaining consistent client engagement and building rapport without face-to-face interactions. Managing client privacy and confidentiality in virtual settings also requires careful attention. To address these, practitioners use secure communication platforms, set clear expectations around session structure, and develop strong online communication skills. Regular check-ins and adapting techniques to suit digital environments can help foster trust and achieve client goals effectively.

What are Remote NLP Practitioners?

Remote NLP Practitioners are professionals who apply Natural Language Processing (NLP) techniques to analyze and interpret human language data from a remote location. They use tools and algorithms to process text or voice data for tasks such as sentiment analysis, chatbots, language translation, and more. Working remotely, they collaborate with teams and clients via digital platforms to develop, test, and deploy NLP solutions. This role often requires expertise in linguistics, machine learning, and programming languages such as Python. Remote NLP Practitioners enable organizations to harness the power of language data while maintaining flexibility in their work environment.
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What cities are hiring for Remote Nlp Practitioner jobs? Cities with the most Remote Nlp Practitioner job openings:
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Remote Nlp Practitioner jobs near you
Infographic showing various Remote Nlp Practitioner job openings in the United States as of June 2026, with employment types broken down into 84% Full Time, 8% Temporary, and 8% Contract. Highlights an 100% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
GenAI Engineer - Remote

GenAI Engineer - Remote

MM International

San Francisco, CA • Remote

Contractor

Posted 3 days ago

Job description

GenAI/LLM Engineer (NLP, TensorFlow, PyTorch SME)

San Francisco, Bay Area, CA

Duration: Six months may extend to 12 months

Must be in the Greater Bay area – or in California

Domain: utilities

GenAI/LLM Engineer (NLP, TensorFlow, PyTorch SME)

Implementing GenAI requires specialized expertise in large language models. Traditional data scientists often haven't had the opportunity to dive deep into the practical intricacies of LLMs—particularly advanced fine-tuning techniques, model compression strategies, memory optimization approaches, and specialized training workflows. This role requires a hands-on deep learning practitioner comfortable with modern frameworks and libraries specific to LLM development.

  • Enables domain-specific fine-tuning of models to client's unique utility context
  • Improves model performance while reducing computational costs through advanced optimization techniques
  • Creates Client-specific AI capabilities that address our unique operational challenges
  • Enables the CoE to move beyond generic AI tools to customized solutions that deliver higher business value

Key Responsibilities:

  • Implement and optimize advanced fine-tuning approaches (LoRA, PEFT, QLoRA) to adapt foundation models to client's domain
  • Develop systematic prompt engineering methodologies specific to utility operations, regulatory compliance, and technical documentation
  • Create reusable prompt templates and libraries to standardize interactions across multiple LLM applications and use cases
  • Implement prompt testing frameworks to quantitatively evaluate and iteratively improve prompt effectiveness
  • Establish prompt versioning systems and governance to maintain consistency and quality across applications
  • Apply model customization techniques like knowledge distillation, quantization, and pruning to reduce memory footprint and inference costs
  • Tackle memory constraints using techniques such as sharded data parallelism, GPU offloading, or CPU+GPU hybrid approaches
  • Build robust retrieval-augmented generation (RAG) pipelines with vector databases, embedding pipelines, and optimized chunking strategies
  • Design advanced prompting strategies including chain-of-thought reasoning, conversation orchestration, and agent-based approaches
  • Collaborate with the MLOps engineer to ensure models are efficiently deployed, monitored, and retrained as needed

Expected Skillset:

  • Deep Learning & NLP: Proficiency with PyTorch/TensorFlow, Hugging Face Transformers, DSPy, and advanced LLM training techniques
  • GPU/Hardware Knowledge: Experience with multi-GPU training, memory optimization, and parallelization strategies
  • LLMOps: Familiarity with workflows for maintaining LLM-based applications in production and monitoring model performance
  • Technical Adaptability: Ability to interpret research papers and implement emerging techniques (without necessarily requiring PhD-level mathematics)
  • Domain Adaptation: Skills in creating data pipelines for fine-tuning models with utility-specific content