AI Architect
OR · Remote
Your contributions will be instrumental in shaping cutting-edge architectures, frameworks, and methodologies, pushing the boundaries of natural language processing (NLP) and machine learning. You ...
Quick apply
OR · Remote
Your contributions will be instrumental in shaping cutting-edge architectures, frameworks, and methodologies, pushing the boundaries of natural language processing (NLP) and machine learning. You ...
Quick apply
OR · Remote
Your contributions will be instrumental in shaping cutting-edge architectures, frameworks, and methodologies, pushing the boundaries of natural language processing (NLP) and machine learning. You ...
$37.5K - $51.9K
2% of jobs
$51.9K - $66.3K
3% of jobs
$66.3K - $80.8K
6% of jobs
$80.8K - $95.2K
9% of jobs
$99.9K is the 25th percentile. Wages below this are outliers.
$95.2K - $109.7K
15% of jobs
The median wage is $119.3K / yr.
$109.7K - $124.1K
22% of jobs
$132K is the 75th percentile. Wages above this are outliers.
$124.1K - $138.5K
32% of jobs
$138.5K - $153K
3% of jobs
$153K - $167.4K
4% of jobs
$167.4K - $181.9K
1% of jobs
$181.9K - $196.3K
2% of jobs
$37.5K
$122.6K
$196.3K
An NLP (Natural Language Processing) job involves developing algorithms and models that enable computers to understand, interpret, and generate human language. NLP professionals work on tasks such as text analysis, speech recognition, machine translation, and chatbot development. They typically use machine learning, deep learning, and linguistic techniques to improve natural language comprehension in applications like virtual assistants, search engines, and sentiment analysis tools.
NLP specialists commonly work on projects such as building chatbots, developing text classification models, automating document analysis, or improving search engines and recommendation systems. Daily tasks can include annotating data, training and evaluating models, collaborating with data engineers and product teams, and staying up-to-date with the latest research. You'll often be involved in both the development and deployment of language-based AI solutions, which might include integrating APIs, optimizing performance, or addressing real-world language challenges. Collaboration and communication are key, as NLP projects typically involve cross-functional teams spanning engineering, data science, and business stakeholders.
To thrive in Natural Language Processing (NLP), you need a solid background in computer science, linguistics, and mathematics, often supported by a relevant degree or advanced studies. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), programming languages like Python, and experience with NLP libraries (e.g., spaCy, NLTK) are crucial, and certifications in AI or data science can be beneficial. Strong analytical thinking, attention to detail, and the ability to communicate technical concepts clearly are important soft skills. These skills are essential for designing, developing, and optimizing language-based AI solutions that address complex linguistic challenges in real-world applications.
For Nlp jobs in Remote, OR, the most frequently searched job titles are:
The top searched job categories for Nlp jobs in Remote, OR are:
Cities near Remote, OR with the most Nlp job openings:

Job Description:
Artificial and Large Language Model Architect
Job Description
As an AI & LLM Architect, you will play a pivotal role in designing and implementing the technology architecture for advanced AI (including Large Language Model (LLM)) platform systems and solutions. You will translate business roadmaps into technical requirements and architecture. Your contributions will be instrumental in shaping cutting-edge architectures, frameworks, and methodologies, pushing the boundaries of natural language processing (NLP) and machine learning. You will architect sophisticated large language models (LLMs) with the remarkable ability to process and generate natural language. Additionally, you will have the opportunity to design neural network parameters, leveraging extensive amounts of unlabeled text data, to further enhance the model's capabilities.
Job Details:
What you need:
At Oxford, everything is built on solid relationships. If you join the Oxford team, you will quickly see how we work together towards one common goal: delivering The Right Talent. Right Now. We lead with passion, positivity, and accountability through our words and actions, creating an environment where those we work with can think big, have fun, and know they make a difference.
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Oxford Global Resources delivers tailored solutions for any technical challenges you face using our partnership-first approach. We specialize in workforce mobilization, digital transformation, and modern enterprise. We are committed to providing you with The Right Talent. Right Now. In 1984, we started Oxford with a handful of employees in a converted schoolhouse in Reading, Massachusetts. The people that shape our organization are some of the best in the industry. They are dedicated to making an impact and are with you every step of the way. We strive to meet the most pressing needs, solve the most complex problems, and go beyond expectations for our clients and our consultants. Together, we drive great outcomes. Whether you’d like to join the thousands of professionals who trust Oxford to advance their careers or partner with us to solve a challenge your business is facing, contact us at any of our 35 global offices.
Recruiting and staffing services
501 - 1,000 Employees
Beverly, MA, US
1984