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Dir Applied AI Engineer

$167.70K - $268.33K/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 ...

Penn State University

Research Assistants

University Park, PA · On-site

$18.75 - $26/hr

... as 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 social ...

The Pennsylvania State University

$19 - $26/hr

... as 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 social ...

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Part Time Llm information

What are the key skills and qualifications needed to thrive as a Part-Time LLM (Legal Master’s) graduate, and why are they important?

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 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 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

Project Lion - Prompt Engineer - United States (Remote, Part-Time)

Welo Global

Remote

Part-time

Posted 14 days ago

Job description

We are seeking a Prompt Engineer to be responsible for the end-to-end technical migration workflow for transitioning templates to LLMautoraters. The role is required to use client's internal tools to leverage prompt engineering techniques to maximize model performance.
Responsibilities:
  • Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters.
    • >

  • Run and supervise Automated Prompt Optimization (APO) tool, review the outputs, and flag when the APO reaches deadlocks or plateaus.
    • >

  • Manuallydraft, test, and refine prompts to navigate complex template architectures, overcome anti-patterns, and handle edge cases where tooling is lacking or broken. Solve edge-case scenarios by designing and refining manual prompts.
    • >

  • Monitorshadowbotruns to ensure sufficient disagreements (between human and LLM ratings) are registered, generated, and tracked.
    • >

  • Run prompt versions against established gold data to continuously measureautoraterquality against the human crowd baseline, calculating accuracy metrics such as F1 scores, precision, and recall.
    • >

  • Draft technical launch readiness justifications (Launch Certification Documentation) for final.
    • >

Requirement:
  • Language Skills: Native fluency in English.
    • >

  • Location: Must be based in United States.
    • >

  • Education: Bachelor's, Master's, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction (HCI), Cognitive Science, ora relatedanalytical field.
    • >

  • Prompt Engineering & AI Expertise: At least 2 years' experience as Prompt Engineer. Proven experience tuning Large Language Models (LLMs)for strict, structured outputs, complex classification tasks, and familiarity with chain-of-thought and few-shot learning.
    • >

  • Data Analysis: Strongproficiencyinidentifyingerror patterns, analyzing model performance, and using SQL or other data analytics tools.
    • >

  • Technical Agility: Ability to quickly learn and master proprietary tools with minimal supervision.
    • >

  • Communication: Excellent verbal and written communication skills.
    • >

Optional / Preferred Skills:
  • Familiarity with enterprise-grade LLM interfaces like the Goose API.
    • >

  • Experience in AI model evaluation, data science, computational linguistics, or software engineering.
    • >

  • Hands-on experience with Automated Prompt Optimization (APO) systems or tuning workflows.
    • >

  • Linguistic expertise, including an understanding of semantics and logic.
    • >

Federal Law Compliance
In compliance with federal law, all persons hired will be required to:
- Verify identity and eligibility to work in the United States; and
- Complete a required employment eligibility verification form.
Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
To know more details (Click here)
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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