1

From Home Natural Language Processing Jobs (NOW HIRING)

Conduct research on cutting-edge techniques in natural language processing (NLP) and machine ... Collect, clean, and preprocess large-scale text datasets from diverse sources. * Develop and ...

AI/ML SME

Merrifield, VA · On-site

$175K - $230K/yr

Build Natural Language Processing (NLP) capabilities for unstructured data analysis. * Develop data pipelines supporting AI and advanced analytics. * Perform statistical analysis using Python, R, SQL ...

Gen AI Developer

Seattle, WA · On-site

$57.25 - $78.75/hr

Strong understanding of natural language processing (NLP). Experience with data preprocessing and model fine-tuning. Familiarity with evaluation metrics for RAG systems. Knowledge of transformer ...

Experience with ElasticSearch, information/document retrieval, natural language processing is a ... You will leverage your strong collaboration skills and ability to extract valuable insights from ...

Machine learning, natural language processing, learning-to-rank, online learning, deep learning ... Work with real-time data and content coming from various data sources. * Manage machine learning ...

Machine learning, natural language processing, learning-to-rank, online learning, deep learning ... Work with real-time data and content coming from various data sources. * Manage machine learning ...

AI/ML SME

Merrifield, VA · On-site

$175K - $230K/yr

Build Natural Language Processing (NLP) capabilities for unstructured data analysis. * Develop data pipelines supporting AI and advanced analytics. * Perform statistical analysis using Python, R, SQL ...

Showing results 41-60

From Home Natural Language Processing information

See salary details

$8

$16

$25

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

As of Jul 24, 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.
What cities are hiring for From Home Natural Language Processing jobs? Cities with the most From Home 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 From Home Natural Language Processing jobs? States with the most job openings for From Home Natural Language Processing jobs include:
Principal AI/ML Engineer (Large Language Model) (TS/SCI) {S}

Principal AI/ML Engineer (Large Language Model) (TS/SCI) {S}

The Stratagem Group

Aurora, CO • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago


Job description

ARKA Group L.P. ("ARKA") is an advanced technologies company serving the U.S. military, intelligence community, and commercial space industry delivering next-generation solutions to support the national security space enterprise. Built on more than six decades of excellence, ARKA brings modern approaches and a culture of innovation to the challenges of today.
Join the ARKA team to learn how Beyond Begins Here. Discover your next career opportunity now!
Position Overview:
The Principal AI/ML Engineer will support the development of AI/ML algorithms in a multitude of disciplines from object detection/classification, natural language processing, reinforcement learning, and large language models.
We offer generous relocation benefits for eligible candidates.
In support of work/life balance, many positions are available for a flexible schedule within the pay period. Ask us about the opportunity for flex scheduling if that's of interest to you.
Responsibilities:
Lead and mentor a multidisciplined team consisting of developers and researchers to implement machine learning algorithms to solve a broad set of challenges for our various customers
  • Apply Large Language Models (LLMs) to a variety of applications within remote sensing such as tasking collections, identifying gaps in collection plans, analyzing patterns of life, and more.
  • Fine tune foundation models and building adaptors for new applications (llama factory, PEFT)
  • Apply retrieval augmented generation (RAG) techniques to data to populate and query vector databases (e.g. Weaviate)
  • Build custom applications with LLM frameworks such as LangChain, DSPy
  • Deploy LLM solutions across cloud-based and local resources using kubernetes (llama.ccp, vllm etc)
  • Analyze large multi-domain datasets such as images, text and/or graph data, to identify statistically relevant features to build models that provide analysts with actionable data
  • Review relevant publications to understand and apply cutting edge concepts to defense and commercial applications
  • Interface with both internal and external leadership to communicate technical status

Required Qualifications:
  • BS in machine learning, computer science, mathematics, or related fields.
  • 10+ years of experience, preferably in software development or as a data scientist with 2+ years of building LLM applications using some of the following:
    • Fine-tuning foundational models
      • Steering Techniques (e.g Sparse auto encoders, representation tuning)
      • Building adapters to use foundational models (e.g. PEFT, llama factory)
    • Prompt engineering techniques / Inference time techniques (e.g. chain of thought, tree of thoughts, etc.)
    • Using Retrieval Augmented Generation techniques to populate and query vector databases (e.g. Weaviate, pinecone)
    • Using LLM Frameworks (e.g. LangChain, DSPy)
    • Using AI APIs ( e.g AWS Bedrock, OpenAI)
    • Using LLM deployment frameworks (eg llama.cpp, vllm, tgi)
    • Developing UIs with ReAct
  • Experience leading an interdisciplinary team of researchers and software developers and working with a program manager to define project scope and schedule to ensure we meet project milestones as defined by our customers
  • Experience with Python and data science / machine learning libraries (e.g. PyTorch, TensorFlow, Keras, OpenCV, NumPy, Pandas, Polars, scikit-learn, etc.)
  • Active TS/SCI U.S. Government Security Clearance

Preferred Qualifications:
  • MS or PhD in machine learning, computer science, mathematics, or related fields.
  • Experience leading an interdisciplinary team of researchers and software developers
  • Experience with any of the following Computer Vision domains:
    • Large Language Models and experience identifying ways to incorporate them into new areas and applications
    • Applying Transformer-based architectures to domains in other areas outside of Natural Language Processing (NLP) such as computer vision
    • Object detection algorithms such as YOLO and Faster-RCNN
    • Natural Language Processing algorithms such as BERT
    • Generative Adversarial Networks and Variational Autoencoders
    • Reinforcement learning and familiarity with Gymnasium Gym, RLlib, and Stable Baselines
    • Applying clustering algorithms and/or deep neural networks to real life problems
    • Implementing tracking and pattern-of-life algorithms
  • Experience with Machine Learning libraries and frameworks such as HuggingFace and LangChain
  • Experience with Computer Vision libraries such as OpenCV, Nerfstudio, FiftyOne, etc.
  • Experience with Linux
  • Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda, etc.
  • Experience with any of the following additional languages: Java, C++, Rust, Go, and/or C#
  • Experience implementing algorithms on the GPU in Python or C++ using CUDA and other CUDA libraries
  • Experience with implementing tracking and pattern-of-life algorithms
  • Experience in application deployment, virtualization, and containerization (e.g. Podman, Docker, Kubernetes, Rancher)
  • Experience working with various Remote Sensing datasets (e.g. EO/OPIR/SAR images, passive RF, etc.)
  • Experience shaping and writing proposals

Pay Range: $180,000 - $210,000
Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.
The application window will close in 330 days for this position.
Location: Aurora, CO
Being situated at the foot of the Rocky Mountains, Aurora provides opportunities to enjoy all the beautiful nature that Colorado has to offer, while also being a 20-minute drive from downtown Denver and 15-minutes to the Denver International Airport.
What We Offer:
  • Comprehensive medical/vision/dental insurance packages
  • Company contributions to qualified HSA accounts
  • 401k retirement plan with industry leading company contributions
  • 3 weeks of vacation accrual per year plus time off for sick leave and unscheduled life events
  • 13 paid holidays
  • Upfront tuition assistance for approved degree programs
  • Annual bonus program based on company and employee performance
  • Company paid life insurance, AD&D, Short-Term and Long-Term disability insurance
  • 4 weeks paid Parental Leave
  • Employee assistance program (EAP)

EHS/Environmental Requirements:
This job operates in a professional office environment. While performing the duties of this job, the employee routinely is required to use hands to keyboard, communicate, listen to, and interpret instructions and remain stationary for extended periods of the time. This would require the ability to move around the campus and occasionally move/lift items weighing up to 25 lbs. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the job.
Applicants are invited to apply for a reasonable accommodation to perform the essential duties of the job. To apply, send a request to staffing@arka.org or contact 203-797-5000 and press 2 for Human Resources.
ITC & Security Clearance Requirements:
This position requires an active TS/SCI U.S. Government Security Clearance.
Visa Restrictions:
No visa sponsorship is available for this position.
Pre-employment Screenings:
Employment with any ARKA companies in the U.S. is contingent upon satisfactory completion of several pre-employment requirements to include a credit check, background check, and drug screen.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.