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Internship Llm Graduate Jobs (NOW HIRING)

Scale AI, Inc.

AI Builder Intern

San Francisco, CA

... graduate program in CS, data science, engineering, or related field BONUS POINTS Prior internship ... LLM evals An active GitHub, portfolio, or side project that shows what you can do WHY SCALE AI ...

Scale AI, Inc.

AI Builder Intern

Manhattan, NY

... graduate program in CS, data science, engineering, or related field BONUS POINTS Prior internship ... LLM evals An active GitHub, portfolio, or side project that shows what you can do WHY SCALE AI ...

Trinity Industries

Data Analytics Intern

Dallas, TX · On-site

Trinity Industry is looking for Data Analytics Interns for our office in Dallas, TX . This position ... Implement LLM-based agents (prompting, tool-calling, memory, monitoring) and harden prototypes for ...

Trinity Logistics Group

Data Analytics Intern

Dallas, TX · On-site

Trinity Industry is looking for Data Analytics Interns for our office in Dallas, TX . This position ... Implement LLM-based agents (prompting, tool-calling, memory, monitoring) and harden prototypes for ...

TrinityRail

Data Analytics Intern

Dallas, TX · On-site

Trinity Industry is looking for Data Analytics Interns for our office in Dallas, TX . This position ... Implement LLM-based agents (prompting, tool-calling, memory, monitoring) and harden prototypes for ...

Joby Aviation

Software Engineering Intern

San Carlos, CA · On-site

$5K - $7K/mo

Interest in or exposure to LLM-integrated applications (prompting, agents, tool use, retrieval ... The pay range for graduate interns with a Bachelor, Master, and/or Ph.D. degree is $5,550-$7,800 ...

SWBC

AI Intern

San Antonio, TX · On-site

$13.50 - $18/hr

This internship will focus on building AI-powered applications and product features, contributing ... Experience with LLM application patterns, such as: Retrieval-Augmented Generation (RAG), Prompt ...

SWBC

AI Intern

San Antonio, TX

$13.50 - $18/hr

This internship will focus on building AI-powered applications and product features, contributing ... Experience with LLM application patterns, such as: Retrieval-Augmented Generation (RAG), Prompt ...

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How much do internship llm graduate jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for internship llm graduate in the United States is $17.16, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $17.31 per hour, depending on experience, location, and employer.

What is an Internship LLM Graduate?

An Internship LLM Graduate is an individual who has recently completed a Master of Laws (LLM) degree and is participating in an internship to gain practical legal experience. These internships are typically designed to provide recent LLM graduates with exposure to real-world legal work, such as research, drafting documents, and assisting with case preparation. The role helps bridge the gap between academic studies and professional practice, often improving employment prospects and providing valuable industry contacts. LLM graduates may intern at law firms, corporate legal departments, government agencies, or non-profit organizations.

What types of projects and responsibilities can an Internship LLM Graduate expect to work on during their internship?

As an Internship LLM Graduate, you will typically assist with legal research, draft memos or briefs, and support case preparation under the supervision of experienced attorneys. You may also attend client meetings, participate in internal discussions, and observe court proceedings, depending on your placement. This hands-on experience helps you develop practical legal skills and gain insight into specific areas of law, such as corporate, intellectual property, or litigation. Collaboration with both legal and administrative teams is common, fostering a well-rounded understanding of the legal profession.

What is the difference between Internship Llm Graduate vs Legal Assistant?

AspectInternship Llm GraduateLegal Assistant
Required CredentialsLLM degree, legal research skillsAssociate degree or paralegal certification, legal knowledge
Work EnvironmentLaw firms, legal departments, academic settingsLaw firms, corporate legal departments, government agencies
Employer & Industry UsageInternship for skill development, often temporarySupport role in legal teams, ongoing employment
Common Search & Comparison IntentUnderstanding internship roles for law graduatesLegal support roles for legal professionals

In summary, an Internship Llm Graduate is typically a temporary position aimed at gaining practical experience during or after completing an LLM degree, often in academic or law firm settings. A Legal Assistant is a more permanent support role requiring legal knowledge and assisting lawyers with case preparation and research. Both roles are integral to legal work but differ in duration, responsibilities, and career stage.

What are the key skills and qualifications needed to thrive as an Internship LLM Graduate, and why are they important?

To thrive as an Internship LLM Graduate, you need a solid understanding of legal principles, research skills, and advanced academic qualifications such as a Master of Laws (LLM) degree. Familiarity with legal databases (e.g., Westlaw, LexisNexis), document management systems, and citation tools is typically required. Strong analytical thinking, attention to detail, and effective written and verbal communication are crucial soft skills in this role. These competencies enable you to contribute meaningful legal insights, support casework, and excel in a competitive legal environment.
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Internship Llm Graduate jobs near you
Infographic showing various Internship Llm Graduate job openings in the United States as of June 2026, with employment types broken down into 13% As Needed, and 87% Full Time. Highlights an 77% Physical, 5% Hybrid, and 18% Remote job distribution, with an average salary of $35,684 per year, or $17.2 per hour.
AI Builder Intern

AI Builder Intern

Scale AI, Inc.

San Francisco, CA

Other

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

Job description

ABOUT THE ROLE

This isn't a research internship. You won't spend the summer writing reports or sitting in strategy meetings. You'll spend it building - shipping AI-powered tools, automating workflows, and deploying agentic systems that real teams at Scale AI use every day.

Embedded in the Data & Technology org, you'll work directly alongside engineers, data scientists, and ops leads on live automation initiatives. If you have strong instincts for what AI can do today, a bias for building over theorizing, and a fluency in modern LLM tooling - this role is for you.

WHAT YOU'LL BUILD

Agentic Workflows & Automation

Design and deploy multi-step agentic workflows using LLM-integrated frameworks (LangChain, LangGraph, CrewAI, or similar)

Build API-connected automations that tie together internal tools - Slack, Salesforce, Notion, and internal data systems

Prototype and iterate fast; build things that work, then make them better

AI Tooling & Internal Products

Develop lightweight internal tools and dashboards that surface AI outputs to business teams

Vibe-code functional UIs - React, plain JS, or whatever gets to working fastest - for internal adoption

Identify friction points in current workflows and propose AI-first replacements

Measurement & Signal

Instrument your own work - capture usage signals, time-saved estimates, and adoption metrics from day one

Contribute to the org's ROI measurement framework by tagging your projects to defined value categories

A NOTE ON "VIBE CODING"

We're not precious about how code gets written. Use Cursor, Claude, Copilot, or whatever gets you from idea to working demo in hours, not weeks. We care about judgment, craft, and what ships - not keystroke attribution.

WHAT WE'RE LOOKING FOR

Hands-on experience with LLM APIs (OpenAI, Anthropic, etc.) - you've built something real with them

Comfortable with Python and/or JavaScript; able to read and write production-quality code

Familiarity with at least one agentic or automation framework (LangChain, AutoGen, n8n, Zapier + LLM, etc.)

Strong product instincts - you think about who will use what you build and why it matters

Able to move fast without breaking things that matter; iterative, scrappy, but deliberate

Currently enrolled in an undergraduate or graduate program in CS, data science, engineering, or related field

BONUS POINTS

Prior internship or project experience in a BizOps, RevOps, or enterprise automation context

Experience integrating Slack, Salesforce, or finance/ops systems via APIs

You've built something with a multi-agent architecture - even a side project counts

Familiarity with prompt engineering, RAG pipelines, or LLM evals

An active GitHub, portfolio, or side project that shows what you can do

WHY SCALE AI

Scale AI is building the data infrastructure behind the world's most capable AI systems. As an AI Builder Intern on the Data & Technology team, you'll work inside one of the most AI-native organizations in the world - deploying the same tools you're learning about in an environment where the stakes are real and the pace is fast.

You'll leave with production systems in your portfolio, not decks. And you'll work alongside people who think deeply about how AI transforms the way organizations actually run.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:
$74,400—$111,600 USD

PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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