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Part Time Llm Ai Jobs (NOW HIRING)

Booz Allen Hamilton, Inc.

Agentic AI Engineer

Annapolis, MD · On-site

$99K - $225K/yr

You will play a crucial role in shifting our AI strategy from passive LLM chatbots to proactive ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

The Pennsylvania State University

AND POSITION REQUIREMENTS The College/Unit of IST is seeking applicants for part-time job of ... privacy, and AI systems design.The goal of this project is to create a structured analysis of ...

TripleTen

$40 - $80/hr

Advanced hands-on experience across multiple LLM ecosystems, including ChatGPT / OpenAI models ... Experience using AI for marketing research, insight generation, strategy development, scalable ...

New

Stantec

Generative AI Developer

Phoenix, AZ · On-site

$104K - $152K/yr

... LLM-powered agents, multi-agent systems, retrieval-augmented generation (RAG), and intelligent ... Regular full-time and part-time employees (working at least 20 hours per week) have access to ...

Stantec

Generative AI Developer

Austin, TX · On-site

$104K - $152K/yr

... LLM-powered agents, multi-agent systems, retrieval-augmented generation (RAG), and intelligent ... Regular full-time and part-time employees (working at least 20 hours per week) have access to ...

Stantec

Generative AI Developer

Denver, CO · On-site

$104K - $152K/yr

... LLM-powered agents, multi-agent systems, retrieval-augmented generation (RAG), and intelligent ... Regular full-time and part-time employees (working at least 20 hours per week) have access to ...

Booz Allen Hamilton, Inc.

AI Engineer

Arlington, VA · On-site +1

$77K - $176K/yr

Experience with basic prompt engineering concepts and use of LLM SDKs or frameworks, including ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

TripleTen

You can join us on a part-time basis , contributing as an instructor leading live sessions and ... Ability to evaluate real-world AI/LLM applications, architectures, and workflows * Experience ...

Booz Allen Hamilton, Inc.

Agentic AI Engineer

Annapolis, MD · On-site +1

$99K - $225K/yr

Experience creating AI agents or multi-step LLM workflows, including defining agent behavior ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

AI and ML Engineer

Annapolis, MD · On-site +1

$99K - $225K/yr

Experience developing Natural Language Processing (NLP), Large Language Models (LLM), and Retrieval ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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Part Time Llm Ai information

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$41K

$63.3K

$95.5K

How much do part time llm ai jobs pay per year?

As of Jul 31, 2026, the average yearly pay for part time llm ai in the United States is $63,311.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,000.00 and $69,500.00 per year, depending on experience, location, and employer.

How can I make $2000 a week working from home?

A Part Time LLM AI professional can increase earnings by offering specialized AI consulting, developing and selling AI tools or models, or providing freelance AI-related services. Building a strong portfolio, acquiring relevant skills, and leveraging online platforms can help reach higher income levels, but earning $2000 weekly part-time may require multiple income streams and consistent effort.

What are the key skills and qualifications needed to thrive as a Part-Time LLM AI Specialist, and why are they important?

To thrive as a Part-Time LLM AI Specialist, you need strong programming skills (especially in Python), a solid background in machine learning or natural language processing, and relevant academic or industry experience. Familiarity with AI frameworks like TensorFlow or PyTorch, and experience using large language models (LLMs) and cloud platforms are typically required. Excellent problem-solving abilities, adaptability, and effective communication are crucial soft skills for collaborating on cross-functional teams and handling evolving project requirements. These skills ensure you can develop, fine-tune, and deploy AI models efficiently while contributing to innovative solutions in a dynamic environment.

What can I do with an LLM AI?

A Part Time LLM AI professional can develop, fine-tune, and implement large language models for tasks such as natural language processing, chatbots, and data analysis. They often work with machine learning tools and programming languages like Python and may require knowledge of AI frameworks like TensorFlow or PyTorch. This role involves applying AI skills to improve automation, customer service, or content generation in various industries.

How do part-time LLM AI professionals typically balance project demands with limited working hours?

Part-time LLM AI professionals often work on specific, well-defined projects such as data labeling, model fine-tuning, or evaluating AI outputs. Clear communication with the team about availability and deliverable timelines is essential to ensure project milestones are met. Many organizations use collaborative tools and agile workflows, allowing part-time staff to contribute asynchronously and stay aligned with full-time team members. Balancing demands effectively requires proactive time management and prioritizing tasks that have the most impact within allotted hours.

What is the difference between Part Time Llm Ai vs Part Time Legal Assistant?

AspectPart Time Llm AiPart Time Legal Assistant
Required CredentialsLaw degree, LLM in AI or related field, possibly some AI certificationsHigh school diploma or associate degree, legal secretary certification often preferred
Work EnvironmentLegal firms, tech companies, research institutionsLaw offices, courts, legal departments
Employer & Industry UsageLegal and AI industries, research rolesLegal industry, supporting attorneys and legal teams
Common Search & ComparisonYesNo

Part Time Llm Ai professionals focus on legal work combined with AI expertise, often requiring advanced degrees and specialized knowledge. In contrast, Part Time Legal Assistants support legal teams with administrative and clerical tasks, requiring less formal education. The roles differ mainly in qualifications and industry focus, with Part Time Llm Ai roles being more specialized and technical.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI researcher, machine learning director, or AI executive, often requiring advanced skills, extensive experience, and sometimes specialized certifications. These roles usually involve leadership, strategic planning, and development of AI systems in large organizations or tech companies. Compensation at this level reflects the complexity and impact of the work, as well as the value placed on AI expertise in the industry.

What is a Part Time LLM AI job?

A Part Time LLM AI job involves working with large language models (LLMs), such as those developed by OpenAI, on a part-time basis. These roles may include tasks like training, fine-tuning, evaluating, or integrating AI models into applications, while allowing for flexible work hours. Ideal for students or professionals seeking experience in AI, these positions often require programming skills, familiarity with machine learning frameworks, and an understanding of natural language processing concepts.

Which 3 jobs will survive AI?

Part Time Llm Ai professionals are likely to find that roles requiring complex legal analysis, strategic decision-making, and human judgment will persist despite AI advancements. Jobs that involve nuanced understanding, ethical considerations, and interpersonal skills—such as legal consulting, AI ethics oversight, and specialized legal research—are expected to remain in demand. These roles often require advanced education, critical thinking, and adaptability that AI tools currently cannot fully replicate.
More about Part Time Llm Ai jobs
What cities are hiring for Part Time Llm Ai jobs? Cities with the most Part Time Llm Ai job openings:
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What job categories do people searching Part Time Llm Ai jobs look for? The top searched job categories for Part Time Llm Ai jobs are:
Part Time Llm Ai jobs near you
Infographic showing various Part Time Llm Ai job openings in the United States as of July 2026, with employment types broken down into 67% Full Time, 22% Part Time, and 11% Contract. Highlights an 59% Physical, 3% Hybrid, and 38% Remote job distribution, with an average salary of $63,311 per year, or $30.4 per hour.

Agentic AI Engineer

Booz Allen Hamilton, Inc.

Annapolis, MD • On-site

$99K - $225K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Re-posted 27 days ago

Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

13th of 72 rated business consultants

Job description


Remote Work:
Hybrid
Job Number:
R0239475
Location:
Washington,DC,US
Share job via:
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Additional Locations:
  • Annapolis Junction, Maryland, USA

Agentic AI Engineer
The Opportunity:
We are looking for a highly skilled Agentic AI Engineer to join our team specializing in building autonomous, goal-oriented AI systems. You will play a crucial role in shifting our AI strategy from passive LLM chatbots to proactive, multi-agent orchestrations. In this role, you will utilize deep experience in agent orchestration frameworks, RAG, knowledge graphs, and fine-tuning Small Language Models (SLMs) for edge deployment.
What You'll Work On:
  • Design and implement intelligent agent architectures that can reason, plan, and take actions using LangChain, LangGraph, and AutoGen.
  • Develop and deploy multi-agent systems using Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocols to facilitate communication, tool usage, and collaborative task solving.
  • Build advanced RAG pipelines integrating unstructured data with Knowledge Graphs (KG) to enhance reasoning accuracy and context retention.
  • Fine-tune SLMs for specific domains and optimize them for edge device performance, including ONNX, GGML, or Ollama.
  • Develop evaluation frameworks to test agent reliability, safety, and performance, moving from prototype to production, including ReAct loops and human-in-the-loop.

Join us. The world can't wait.
You Have:
  • 4+ years of experience in software development
  • 3+ years of experience as an ML engineer building production-grade ML solutions using tools such as Docker or Kubernetes, including, GenAI, LLMs, DL, RL, AI agents, agentic workflows, or complex automation frameworks
  • 3+ years of experience with LangChain, LangGraph, AutoGen, PydanticAI, CrewAI, or LlamaIndex
  • 3+ years of experience working in cloud environments, including AWS and Azure and evaluating architectural tradeoffs and designing robust service-based software applications for scalable use
  • Experience with MCP for tool integration and A2A for agent-to-agent collaboration and with RAG architecture and KG, including Neo4j or NebulaGraph
  • Experience fine-tuning LLMs or SLMs using Hugging Face, PEFT, or LoRA, evaluating LLM performance and behavior through evaluations, and building observation layers for stakeholders, including Grafana, Langfuse, LangSmith, or Phoenix
  • Knowledge of modern software design patterns, including microservice design or edge computing
  • Ability to adapt in a rapidly changing environment and navigate ambiguity
  • TS/SCI clearance with a polygraph
  • Bachelor's degree

Nice If You Have:
  • Experience deploying agentic systems in a production environment
  • Experience deploying agents on edge devices such as Android or local models
  • Experience integrating coding agents such as Cursor or Windsurf into an efficient development pipeline with measured results
  • Experience with programming, including ML frameworks such as TensorFlow, PyTorch, llama.cpp, and vLLM
  • Experience engineering AI capabilities in on-premise or multi-classification environments
  • Possession of excellent verbal and written communication skills for client engagements, client-facing project work, and business development
  • Master's degree in a CS or AI field preferred; Doctorate degree in CS or Statistics a plus

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

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Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914

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