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Remote Nlp Practitioner Jobs (NOW HIRING)

Torch.AI

Senior AI/ML Engineer

Leawood, KS · On-site +1

$101.70K - $139.60K/yr

... practitioners. You'll have the autonomy to own meaningful work and the support of teammates who ... Lead the design and implementation of production-grade ML and NLP pipelines , including transformer ...

Torch.AI

AI/ML Engineer (Mid-Level)

Leawood, KS · On-site +1

... practitioners. You'll have the autonomy to own meaningful work and the support of teammates who ... Develop proof-of-concepts and production ML services using modern ML/NLP libraries (Transformers ...

Torch.AI

Senior AI/ML Engineer

Leawood, KS · On-site +1

$101.70K - $139.60K/yr

... practitioners. You'll have the autonomy to own meaningful work and the support of teammates who ... Lead the design and implementation of production-grade ML and NLP pipelines , including transformer ...

Torch.AI

AI/ML Engineer (Mid-Level)

Leawood, KS · On-site +1

... practitioners. You'll have the autonomy to own meaningful work and the support of teammates who ... Develop proof-of-concepts and production ML services using modern ML/NLP libraries (Transformers ...

Torch.AI

Junior AI/ML Engineer

Leawood, KS · On-site +1

... practitioners. You'll have the autonomy to own meaningful work and the support of teammates who ... Run experiments for NLP/NLU tasks such as classification, entity extraction, or information ...

Torch.AI

Junior AI/ML Engineer

Leawood, KS · On-site +1

... practitioners. You'll have the autonomy to own meaningful work and the support of teammates who ... Run experiments for NLP/NLU tasks such as classification, entity extraction, or information ...

Ocean Spray

Sr. Manager, AI Enablement

Lakeville, MA · On-site +1

$128K - $176K/yr

... remote. The Senior Manager, Artificial Intelligence leads the development, execution, and ongoing ... Operating at the Leading Others level, this leader manages a small team of AI practitioners and ...

Ocean Spray

Sr. Manager, AI Enablement

Lakeville, MA · On-site +1

$128K - $176K/yr

... remote. The Senior Manager, Artificial Intelligence leads the development, execution, and ongoing ... Operating at the Leading Others level, this leader manages a small team of AI practitioners and ...

TradeStation

Principal Data Scientist

#WeAreTradeStation Remote Position - must reside in Florida, Texas, Illinois, New York, New Jersey ... This role is for a self-directed practitioner who thrives without hand holding. The ideal applicant ...

Centific

AI Engineer - Responsible AI

... 000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem ... Seattle, WA | Palo Alto, CA | Remote Type: Full-time Build the Future of Safe and Responsible AI ...

Eliassen Group

Senior AI/ML Engineer

Almont, CO · Remote

$90 - $100/hr

Remote Our client seeks a Senior AI/ML Engineer to design and deliver cloud-native machine learning ... Develop end-to-end AI/ML/NLP plans compliant with cybersecurity policies. * Apply software ...

New

Genworth Financial

Senior ML/AI Engineer

Richmond, VA · On-site +1

$103.40K - $142K/yr

... or remote applicants residing in states/locations under Eastern Standard Time: Connecticut ... A successful candidate is both an innovative ML practitioner and a strong hands-on engineer who can ...

Gnw

Senior ML/AI Engineer

Richmond, VA · On-site +1

$103.40K - $142K/yr

... or remote applicants residing in states/locations under Eastern Standard Time: Connecticut ... A successful candidate is both an innovative ML practitioner and a strong hands-on engineer who can ...

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Remote Nlp Practitioner information

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$37.5K

$122.7K

$196.5K

How much do remote nlp practitioner jobs pay per year?

As of May 29, 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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Remote Nlp Practitioner jobs near you
Infographic showing various Remote Nlp Practitioner job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 85% Full Time, and 14% Part Time. Highlights an 39% Physical, and 61% 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 10 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