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Part Time Llm Engineer Jobs (NOW HIRING)

Brain Gain Recruiting

Explainable AI Engineer

Palo Alto, CA · On-site +1

$114K - $157K/yr

Integrate Explainable AI with LLM tools for Agentic AI experience * Collaborate with the cloud ... You will have an opportunity to start as a contractor (preferred; full-time or part-time, at least ...

Booz Allen Hamilton, Inc.

AI Engineer

Reston, VA · On-site

$99K - $225K/yr

Experience building, deploying, and maintaining LLM-powered systems and complex data pipelines in ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

AI Engineer

Reston, VA · On-site

$99K - $225K/yr

Experience building, deploying, and maintaining LLM-powered systems and complex data pipelines in ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

AI Engineer

Reston, VA · On-site

$99K - $225K/yr

Experience building, deploying, and maintaining LLM-powered systems and complex data pipelines in ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

One Call

Dir Applied AI Engineer

$167K - $268K/yr

... Part-time Full Time Salary Range Min - Max (USD) $167703 - $268325 Country United States Date 14 ... LLM orchestration and operationalization: Production patterns for integrating large language models ...

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 ...

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Part Time Llm Engineer information

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How much do part time llm engineer jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for part time llm engineer in the United States is $58.21, according to ZipRecruiter salary data. Most workers in this role earn between $45.43 and $71.15 per hour, depending on experience, location, and employer.

What are some common challenges faced by Part Time LLM Engineers, and how can they effectively manage their workload?

Part Time LLM Engineers often balance multiple projects or commitments, which can make time management and task prioritization challenging. They may also face difficulties staying up-to-date with rapidly evolving large language model technologies while working fewer hours. Effective strategies include setting clear boundaries for work hours, proactively communicating availability and progress with the team, and leveraging project management tools to track tasks. Staying engaged with professional communities and regularly reviewing documentation can also help part time engineers stay current and connected.

What is the difference between Part Time Llm Engineer vs Part Time Legal Data Analyst?

AspectPart Time Llm EngineerPart Time Legal Data Analyst
Required CredentialsEngineering degree, LLM preferred, technical certificationsLegal degree, certifications in data analysis or legal tech
Work EnvironmentTech firms, legal tech companies, remote or on-siteLaw firms, legal departments, remote or on-site
Industry UsageLegal technology, AI development, software engineeringLegal research, case analysis, data management

Part Time Llm Engineers focus on developing legal technology solutions, combining engineering skills with legal knowledge. In contrast, Part Time Legal Data Analysts interpret legal data to support case strategies. Both roles often work in legal tech environments but differ in technical versus analytical focus.

What is a part-time LLM engineer?

A part-time LLM (Large Language Model) engineer is a professional who works with advanced AI language models, such as those developed by OpenAI or Google, on a reduced or flexible schedule rather than full-time. Their responsibilities typically include developing, fine-tuning, and integrating LLMs into various applications, ensuring the models perform accurately and efficiently. Part-time LLM engineers may contribute to projects remotely, collaborate with teams on specific tasks, or support ongoing development needs without the commitment of standard full-time hours. This role is ideal for those seeking work-life balance, specialized project work, or additional income.

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

To thrive as a Part Time LLM Engineer, you need a strong background in computer science, machine learning, and natural language processing, typically supported by a relevant degree or equivalent experience. Familiarity with programming languages like Python, frameworks such as PyTorch or TensorFlow, and version control systems like Git is crucial, along with experience using large language models (LLMs) and associated APIs. Excellent problem-solving skills, effective communication, and the ability to work independently are standout soft skills for this role. These skills ensure you can efficiently develop, fine-tune, and deploy LLM solutions while collaborating remotely or asynchronously within a team.
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Part Time Llm Engineer jobs near you
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.