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Part Time Llm Jobs (NOW HIRING)

Implicit

AI Engineer (US-Based / Part-Time)

Experience evaluating and benchmarking LLM performance. What We Offer * Competitive compensation. * Flexible part-time schedule. * Remote work within the United States. * Flexible vacation policy.

Implicit

AI Engineer (US-Based / Part-Time)

Experience evaluating and benchmarking LLM performance. What We Offer * Competitive compensation. * Flexible part-time schedule. * Remote work within the United States. * Flexible vacation policy.

TripleTen

$152K/yr

LLM evals (eval harness, LLM-as-judge, hallucination metrics), applied fine-tuning (SFT/LoRA); AI coding tools in the SDLC, LLM observability, A/B experiment design. * Can explain why a modeling or ...

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SEO and Web/Wordpress Specialist

Irvine, CA · On-site

$30 - $42/hr

IN OFFICE PART-TIME We are seeking an experienced Web Design & SEO Specialist to support the ... Create and optimize content and site structure for traditional search engines and LLM-based search ...

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SEO and Web/Wordpress Specialist

Irvine, CA · On-site

$30 - $42/hr

IN OFFICE PART-TIME We are seeking an experienced Web Design & SEO Specialist to support the ... Create and optimize content and site structure for traditional search engines and LLM-based search ...

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Part Time Llm information

What is a part time LLM?

A Part Time LLM is a Master of Laws (LLM) degree program designed for students who wish to study law at a postgraduate level while balancing other commitments, such as work or family. Unlike full-time programs, part-time LLMs typically offer flexible schedules and allow students to spread their coursework over a longer period, usually 2 to 4 years. This makes advanced legal education more accessible to working professionals or those with other responsibilities. The curriculum and academic standards are usually equivalent to those of full-time programs.

What are the key skills and qualifications needed to thrive as a part time LLM?

To thrive as a Part-Time LLM graduate, you need a solid background in legal research, analytical reasoning, and advanced knowledge in specialized areas of law, typically supported by an undergraduate law degree and enrollment in an accredited LLM program. Familiarity with legal research databases such as Westlaw or LexisNexis and proficiency in legal writing software are often required. Excellent time management, communication, and critical thinking skills distinguish successful candidates, especially when balancing studies with professional commitments. These skills and qualifications are vital to excel academically, contribute meaningfully in legal environments, and advance your legal career.

What are some common challenges faced by part time LLM researchers working in a collaborative AI development environment?

Part-time LLM researchers often navigate challenges such as staying aligned with rapidly evolving project goals, coordinating effectively with full-time colleagues, and managing time across multiple responsibilities. Since AI development teams are typically fast-paced and highly collaborative, part-time contributors must communicate proactively, attend regular update meetings, and ensure their work integrates seamlessly with ongoing efforts. Successfully balancing these demands can foster strong teamwork skills and provide valuable exposure to state-of-the-art language model research.

What is the difference between Part Time Llm vs Part Time Paralegal?

AspectPart Time LlmPart Time Paralegal
Required CredentialsLaw degree, enrollment in LLM programAssociate's or Bachelor's in legal studies or related field
Work EnvironmentAcademic settings, law firms, researchLaw firms, corporate legal departments, courts
Industry UsageLegal academia, specialized legal practiceLegal support, case preparation, document management

Part Time Llm students typically hold a law degree and pursue advanced legal studies, often working in academic or specialized legal roles. Part Time Paralegals assist lawyers with casework and document handling. While both roles operate within the legal industry, the LLM is an academic qualification, whereas the paralegal role is a support position. Understanding these differences helps in choosing the right career path or job opportunity.

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Part Time Llm jobs near you
Infographic showing various Part Time Llm job openings in the United States as of August 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution.

Senior Prompt Engineer: LLM Migration & Optimization

Charleston, WV • Remote

Welo Data
Data Services • 1 - 5K employees
Learn more about Welo Dataexternal

$96K - $132K/yr

Part-time

Re-posted 8 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.