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Part Time Large Language Model Llm Jobs in Virginia

Varsity Tutors

ChatGPT Tutor

Virginia Beach, VA · Remote

$18 - $40/hr

... of large language model limitations. Ability to explain effective prompt construction, context window management, and responsible AI usage while preparing students for productive and ethical AI ...

Varsity Tutors

ChatGPT Tutor

Alexandria, VA · Remote

$18 - $40/hr

... of large language model limitations. Ability to explain effective prompt construction, context window management, and responsible AI usage while preparing students for productive and ethical AI ...

Varsity Tutors

ChatGPT Tutor

Leesburg, VA · Remote

$18 - $40/hr

... of large language model limitations. Ability to explain effective prompt construction, context window management, and responsible AI usage while preparing students for productive and ethical AI ...

Varsity Tutors

ChatGPT Tutor

Norfolk, VA · Remote

$18 - $40/hr

... of large language model limitations. Ability to explain effective prompt construction, context window management, and responsible AI usage while preparing students for productive and ethical AI ...

Varsity Tutors

ChatGPT Tutor

Blacksburg, VA · Remote

$18 - $40/hr

... of large language model limitations. Ability to explain effective prompt construction, context window management, and responsible AI usage while preparing students for productive and ethical AI ...

Varsity Tutors

ChatGPT Tutor

Fairfax, VA · Remote

$18 - $40/hr

... of large language model limitations. Ability to explain effective prompt construction, context window management, and responsible AI usage while preparing students for productive and ethical AI ...

Varsity Tutors

ChatGPT Tutor

Richmond, VA · Remote

$18 - $40/hr

... of large language model limitations. Ability to explain effective prompt construction, context window management, and responsible AI usage while preparing students for productive and ethical AI ...

Varsity Tutors

ChatGPT Tutor

Charlottesville, VA · Remote

$18 - $40/hr

... of large language model limitations. Ability to explain effective prompt construction, context window management, and responsible AI usage while preparing students for productive and ethical AI ...

Varsity Tutors

ChatGPT Tutor

Salem, VA · Remote

$18 - $40/hr

... of large language model limitations. Ability to explain effective prompt construction, context window management, and responsible AI usage while preparing students for productive and ethical AI ...

Booz Allen Hamilton, Inc.

Data Scientist, Mid

Mclean, VA · On-site

$99K - $225K/yr

Experience working with Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Agentic AI Engineer

Mclean, VA · On-site +1

$112K - $257K/yr

Fine-tune Small Language Models (SLMs) for specific domains and optimize them for edge device ... Experience with tool or function calling patterns across multiple LLM providers * Experience fine ...

Booz Allen Hamilton, Inc.

AI Engineer

Mclean, VA · On-site

... step LLM workflows, develop retrieval augmented pipelines, integrate models into operational ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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All JobsLarge Language Model Llm JobsPart Time Large Language Model Llm JobsPart Time Large Language Model Llm Jobs in Virginia

Part Time Large Language Model Llm information

What is a Part Time Large Language Model (LLM) role?

A Part Time Large Language Model (LLM) role typically involves working with large language models, such as GPT or similar AI systems, on a part-time basis. Responsibilities may include training, fine-tuning, evaluating, or deploying LLMs to solve specific problems or improve existing language technologies. These roles often require knowledge of natural language processing, machine learning, and programming. Part-time positions allow for flexible working hours and may be suitable for students, researchers, or professionals looking to contribute to AI projects without a full-time commitment.

What are some common challenges faced when working part-time with Large Language Models (LLMs)?

Part-time professionals working with Large Language Models often face challenges in keeping up with rapid advancements in AI technologies and adapting to evolving best practices. Balancing limited work hours with the need to stay updated on new research, tools, and model updates can be demanding. Additionally, coordinating with full-time team members and integrating contributions within tight timelines requires effective communication and collaboration skills. However, the flexible schedule can also provide opportunities for continuous learning and professional growth.

What are the key skills and qualifications needed to thrive as a Part-Time Large Language Model (LLM) Engineer, and why are they important?

To thrive as a Part-Time Large Language Model (LLM) Engineer, you need a strong background in computer science, machine learning, and natural language processing, often supported by a relevant degree or equivalent experience. Proficiency with tools and frameworks like Python, TensorFlow, PyTorch, and experience working with LLM architectures such as GPT or BERT is typically required. Strong analytical thinking, communication skills, and the ability to collaborate effectively in a remote or distributed environment are valuable soft skills. These competencies are crucial for successfully developing, fine-tuning, and deploying advanced language models that meet organizational goals.

What is the difference between Part Time Large Language Model Llm vs Part Time Data Annotator?

AspectPart Time Large Language Model LlmPart Time Data Annotator
Required CredentialsKnowledge of NLP, AI, and machine learning conceptsAttention to detail, basic understanding of data labeling
Work EnvironmentRemote or office-based, involving AI development teamsRemote or on-site, working with datasets and labeling tools
Employer & Industry UsageTech companies, AI research labs, startupsData companies, AI firms, machine learning projects

While both roles support AI development, a Part Time Large Language Model Llm focuses on understanding and improving language models, requiring technical knowledge. A Part Time Data Annotator primarily labels data to train models, emphasizing accuracy and attention to detail. The roles differ in technical complexity but are both essential in AI workflows.

What are the most commonly searched types of Large Language Model Llm jobs in Virginia? The most popular types of Large Language Model Llm jobs in Virginia are:
What are popular job titles related to Part Time Large Language Model Llm jobs in Virginia? For Part Time Large Language Model Llm jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Part Time Large Language Model Llm jobs in Virginia look for? The top searched job categories for Part Time Large Language Model Llm jobs in Virginia are:
What cities in Virginia are hiring for Part Time Large Language Model Llm jobs? Cities in Virginia with the most Part Time Large Language Model Llm job openings:
Part Time Large Language Model Llm jobs near you
AI Intern - Hospice & Palliative Care (AI Agent Deployment & Automation)

AI Intern - Hospice & Palliative Care (AI Agent Deployment & Automation)

Care Hospice

Charlottesville, VA • On-site

$25 - $30/hr

Part-time, Internship

Posted 2 days ago

New

Job description

Overview
Care Hospice is modernizing its clinical and operational systems through the adoption of MatrixCare and advanced AI technologies. We are seeking an AI Intern to support the deployment of AI agents and automation solutions that enhance speed to care, improve documentation quality, and increase operational efficiency across hospice and palliative care services. This role offers hands-on experience applying AI in a real-world healthcare environment with meaningful impact on patient care.
This role is designed for a student currently attending a local college or university, as periodic in-office collaboration is required. The internship offers a hybrid schedule, balancing on-site work with remote flexibility.
Location: Charlottesville, VA (Hybrid; some in-office presence required)
Type: Internship (Part-time 15-20/hours per week)
Who we are:
At Care Hospice, we're not just a company; we're a team united by a common goal - providing exceptional hospice and palliative care to those in need. We take immense pride in being a mission-driven, patient-centered leader in end-of-life care. Guided by our vision to be the most trusted partner in hospice care, we surround our patients and their loved ones with unwavering support, comfort, and compassion. At Care Hospice, we look for dedicated professionals who share our belief that true hospice care extends beyond medical needs-it's about bringing dignity, peace, and human connection to every life we touch.
Responsibilities
  • Build and deploy AI agents to support referral intake, triage, and clinical documentation
  • Automate clinical and administrative workflows to reduce operational burden
  • Support predictive analytics initiatives related to patient needs and care planning
  • Assist with automation for compliance monitoring and quality assurance reviews
  • Integrate AI tools and agents into MatrixCare workflows
  • Collaborate with clinical, operational, and IT stakeholders on AI-driven solutions

Qualifications
  • Currently pursuing a BS, MS, or PhD in Computer Science, Data Science, AI, or a related field
  • Experience with Large Language Models (LLMs), Natural Language Processing (NLP), or automation tools
  • Familiarity with APIs and Python
  • Interest in or exposure to healthcare, clinical systems, or regulated environments preferred
  • Strong problem-solving skills and ability to work independently and collaboratively

$25.00 - $30.00 per hour (Average Pay Range). The pay range listed represents a general guideline for the role and is not a guarantee of the final offer. Compensation will be determined based on the selected candidate's relevant experience and the specific responsibilities of the position. Final compensation rate will be discussed and confirmed at the conclusion of the interview process

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