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Part Time Large Language Model Llm Jobs (NOW HIRING)

The Pennsylvania State University

$19 - $26/hr

... part-time Research Assistants for the Spring 2025, Summer 2025, and Fall 2025 semesters ... The successful candidates will assist in developing large language model (LLM) applications for ...

SmartRent

Application Security Engineer

Phoenix, AZ · On-site

$58.25 - $78/hr

Use cloud-native security tools to identify and secure large language model (LLM) integrations and implement appropriate security guardrails. Required Qualifications * 4-6 years of experience in ...

SmartRent

Application Security Engineer

Phoenix, AZ · On-site

$58.25 - $78/hr

Use cloud-native security tools to identify and secure large language model (LLM) integrations and implement appropriate security guardrails. Required Qualifications * 4-6 years of experience in ...

Booz Allen Hamilton, Inc.

Data Scientist

Mclean, VA · On-site

$99K - $225K/yr

Experience with engineering AI solutions, including accessing Large Language Model (LLM) APIs, self ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Scientist

Mclean, VA · On-site

$99K - $225K/yr

Experience with engineering AI solutions, including accessing Large Language Model (LLM) APIs, self ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Scientist

Mclean, VA · On-site

$99K - $225K/yr

Experience with engineering AI solutions, including accessing Large Language Model (LLM) APIs, self ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Scientist

Arlington, VA · On-site

$77K - $176K/yr

Experience with engineering AI solutions, including accessing Large Language Model (LLM) APIs, self ... 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 Jobs

Part Time Large Language Model Llm information

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How much do part time large language model llm jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for part time large language model llm in the United States is $24.34, according to ZipRecruiter salary data. Most workers in this role earn between $18.99 and $29.09 per hour, depending on experience, location, and employer.

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.

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Part Time Large Language Model Llm jobs near you
Infographic showing various Part Time Large Language Model Llm job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 72% Full Time, and 27% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $50,625 per year, or $24.3 per hour.
Senior Prompt Engineer: LLM Migration & Optimization

Senior Prompt Engineer: LLM Migration & Optimization

Welo Data

Charleston, WV • Remote

$96K - $132K/yr

Part-time

Posted 21 days ago

Job description

Are you an expert at navigating the complex architecture of Large Language Models? Welo Data is seeking a Senior Prompt Engineer to lead the technical migration of template workflows into high-performance LLM autoraters.

This role is designed for a technical specialist who understands that "perfecting a prompt" is a rigorous engineering discipline. You will leverage advanced APG/APO tools and manual refinement to ensure our automated systems meet—and exceed—human crowd baselines in accuracy and nuance.

🚀 The Mission: Automated Quality at Scale
  • Architectural Migration: Take full ownership of the end-to-end technical migration of templates to LLM autoraters.
  • Optimization Leadership: Utilize Automatic Prompt Generation (APG) and supervise Automated Prompt Optimization (APO) tools to push model performance past plateaus and deadlocks.
  • Metrics-Driven Excellence: Continuously measure quality against "gold data" baselines, tracking precision, recall, and $F_1$ scores to justify launch readiness.
  • Edge-Case Engineering: Manually draft and refine complex prompts to overcome anti-patterns and architecture gaps that automated tools can't solve.
Project Details
  • Job Title: Senior Prompt Engineer (LLM Migration)
  • Schedule: Part-Time (Set your own hours within project milestones)
  • Location: 100% Remote (Must be based in the United States)
  • Employment Type: Freelance / Independent Contractor
Candidate Profile
  • Educational Foundation: Bachelor’s, Master’s, or PhD in Computer Science, Data Science, Computational Linguistics, or a related analytical field.
  • Prompt Engineering Mastery: 4+ years of experience tuning LLMs for strict, structured outputs, complex classification, and few-shot learning.
  • Analytical Power: High proficiency in identifying error patterns and using SQL or data analytics tools to monitor performance.
  • Technical Agility: Fast learner capable of mastering proprietary internal tools and "Goose API" style interfaces with minimal oversight.
Preferred Technical Skills
  • Familiarity with shadowbot monitoring and disagreement tracking.
  • Experience in AI model evaluation and software engineering.
  • Deep understanding of semantics, logic, and Chain-of-Thought (CoT) prompting.
  • Proven ability to draft high-level Launch Certification Documentation.
Recruitment & Onboarding
  1. Technical Review: Submit your CV and portfolio of LLM optimization work.
  2. Prompt Assessment: Demonstrate your ability to navigate complex template clusters and APO deadlocks.
  3. Tooling Deep-Dive: Get access to our internal technical suite and migration workflows.
  4. Launch: Begin your part-time engagement and lead the shift to LLM-driven autorating.

Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.