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Internship Llm Engineer Jobs (NOW HIRING)

SpaceX

Data Engineer (Starlink)

Bastrop, TX · On-site

$113K - $136K/yr

... internship experience applicable) * 1+ years of development experience in Python or another modern ... Experience building AI agents, LLM-powered applications, or tool-using assistants that integrate ...

SpaceX

Data Engineer (Starlink)

Hawthorne, CA · On-site

$145K - $175K/yr

... internship experience applicable) * 1+ years of development experience in Python or another modern ... Experience building AI agents, LLM-powered applications, or tool-using assistants that integrate ...

Sincera Technologies, Inc.

AI Engineer

Jersey City, NJ · On-site

$109K - $149K/yr

... LLM/SLM) development. The ideal candidate brings 10 15 years of broad software engineering ... Prior experience mentoring junior engineers or interns in AI/ML domains.

Cotiviti

$32 - $40/hr

We are currently looking for interns who can start immediately, 12 week internship, and work 40 ... Exposure to LLM APIs (e.g., OpenAI, Azure OpenAI, Anthropic) and at least tutorial-level ...

Cotiviti

Intern - AI Engineer

$32 - $40/hr

We are currently looking for interns who can start immediately, 12 week internship, and work 40 ... Exposure to LLM APIs (e.g., OpenAI, Azure OpenAI, Anthropic) and at least tutorial-level ...

New

Haize Labs

Software Engineer Intern

New York, NY

$100K - $125K/yr

We eliminate the risk and improve the reliability of LLM apps by haizing them -- i.e. rigorously, proactively, and continuously fuzz-testing them. We are looking for Software Engineering Interns to ...

Haize Labs

Software Engineer Intern

New York, NY · On-site

$100K - $125K/yr

We eliminate the risk and improve the reliability of LLM apps by haizing them -- i.e. rigorously, proactively, and continuously fuzz-testing them. We are looking for Software Engineering Interns to ...

Peraton

Generative AI Engineering Intern (Graduate)

$17.25 - $22.25/hr

Interns can support 100% remotely. This open-ended graduate internship is designed to provide ... Hands-on experience with LLM frameworks such as LangChain, LlamaIndex, or Hugging Face Transformers.

Dolby

Software Development Engineer Intern

Sunnyvale, CA · On-site

$50 - $55/hr

Familiarity with AI coding assistants or LLM-based engineering workflows is a plus. * We understand that applying to internships can feel overwhelming-especially for candidates new to the field or ...

PlusAI

Simulation Engineer Intern

Santa Clara, CA · On-site

$19 - $65/hr

LLM Integration: Leverage Large Language Models (LLMs) to architect and implement a pipeline that ... hour Our internship hourly rates are a standard pay determined based on the position and your ...

Lava

Software Engineer

New York, NY · On-site

About Lava Lava is a universal connector to every LLM, API, and MCP, powering an integrated ... internships and independent projects. * Comfortable with TypeScript/Node.js and able to ship ...

Lava

Software Engineer

New York, NY · On-site

About Lava Lava is a universal connector to every LLM, API, and MCP, powering an integrated ... internships and independent projects. * Comfortable with TypeScript/Node.js and able to ship ...

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Internship Llm Engineer information

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How much do internship llm engineer jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for internship llm engineer in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

What is the difference between Internship Llm Engineer vs Llm Engineer?

AspectInternship Llm EngineerLlm Engineer
Required CredentialsEnrolled in or recent graduate of an LLM program, some technical backgroundTypically holds an LLM degree with specialized legal or technical expertise
Work EnvironmentInternship setting, learning-focused, supervisedFull-time professional role, project-driven, collaborative
Employer & Industry UsageLaw firms, legal tech companies, research institutionsLegal departments, law firms, legal tech companies

The main difference is that an Internship Llm Engineer is a temporary, learning-focused position for students or recent graduates, while an Llm Engineer is a full-time professional role requiring more experience and expertise. Internships serve as entry points into the industry, whereas Llm Engineers handle ongoing legal and technical projects.

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

To thrive as an Internship LLM Engineer, you need a solid background in computer science, proficiency in Python, and foundational knowledge of machine learning and natural language processing concepts. Experience with deep learning frameworks like PyTorch or TensorFlow and familiarity with large language models are typically required, alongside coursework or certifications in AI or data science. Strong problem-solving abilities, curiosity, and effective teamwork skills help interns adapt quickly and contribute to innovative projects. These skills are crucial for understanding complex AI systems and collaborating within fast-evolving research and engineering environments.

What types of projects and responsibilities can an Internship LLM Engineer expect to work on?

As an Internship LLM Engineer, you'll typically be involved in tasks such as fine-tuning large language models, evaluating model performance, and assisting with data preprocessing and annotation. Interns often collaborate closely with senior engineers and data scientists, contributing to research experiments and model deployment efforts. This role offers exposure to the latest advancements in AI and provides hands-on experience with large-scale machine learning workflows, making it a valuable stepping stone for a future career in AI engineering.

What does an Internship LLM Engineer do?

An Internship LLM Engineer works with large language models (LLMs), such as GPT or similar AI systems, to develop, fine-tune, or integrate these models into products and services. Their responsibilities often include data preprocessing, model training, evaluation, and creating solutions that leverage natural language processing (NLP) capabilities. Interns may also help in researching new methods to improve model performance or reduce computational costs. This role provides hands-on experience with state-of-the-art AI technologies and exposure to real-world machine learning workflows.
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Infographic showing various Internship Llm Engineer job openings in the United States as of July 2026, with employment types broken down into 25% Internship, and 75% Full Time. Highlights an 100% In-person job distribution, with an average salary of $52,867 per year, or $25.4 per hour.
Data Engineer (Starlink)

Data Engineer (Starlink)

SpaceX

Bastrop, TX • On-site

$113K - $136K/yr

Full-time

Posted 4 days ago

SpaceX rating

8.8

Company rating: 8.8 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

7th of 61 rated aerospace companies

Job description

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.
DATA ENGINEER (STARLINK)
At SpaceX, we're leveraging our experience building rockets and spacecraft to deploy Starlink, the world's most advanced broadband internet system. Starlink is the world's largest satellite constellation, delivering fast, reliable internet to more than 10 million users worldwide. We design, build, test, and operate the full stack - satellites, user terminals, and the software that ties it all together.
As a Data Engineer on the Starlink Enterprise team, you will improve the quality of data flowing into our commercial systems and build the integrations and AI agents that turn that cleaner data into better decisions and faster execution - from pipeline generation through closed revenue and ongoing enablement. You will partner with Enterprise sales, channel and reseller operations, sales ops, and enablement to fix messy inputs, reduce manual cleanup, and ship automations that make go-to-market workflows more reliable.
RESPONSIBILITIES:
  • Improve data hygiene and quality across go-to-market systems - identify bad, missing, duplicate, and stale records; implement validation, enrichment, and remediation so higher-quality data enters our system of record, opportunity, partner/reseller, and enablement workflows
  • Raise the quality of inputs to AI agents and analytics so outputs (recommendations, deal status, enablement answers, reporting) are more accurate, trustworthy, and actionable
  • Build integrations across internal tools and external systems so deal, customer, and partner context flows cleanly between sales, channel ops, and operational platforms - reducing manual re-entry and preventing quality issues at the source
  • Develop Model Context Protocol (MCP) servers and related interfaces that connect AI assistants (including Grok) to internal and external go-to-market systems, with an emphasis on reliable, well-scoped access to the right data and tools
  • Design, ship, and iterate AI agents that power Starlink Enterprise go-to-market workflows
  • Contribute to AI-powered applications and automations that accelerate lead-to-revenue cycles, working within the additional datasets and systems architecture owned by the team
  • Instrument data quality and agent performance with monitoring and feedback loops - catching regressions early and tying improvements to outcomes (e.g., cleaner pipeline, faster cycle times, higher adoption and trust)
  • Partner closely with sales, sales ops, channel/reseller ops, and enablement to turn recurring data-quality problems and manual processes into durable automations and standards
  • Create reusable tools, checks, and documentation that help the team maintain data quality and extend agents over time
BASIC QUALIFICATIONS:
  • Bachelor's degree in computer science, data science, physics, mathematics, or another STEM discipline
  • 1+ years of professional data engineering or software engineering experience (internship experience applicable)
  • 1+ years of development experience in Python or another modern programming language (SQL, etc.)
PREFERRED SKILLS AND EXPERIENCE:
  • Experience improving CRM data quality (deduping, enrichment, validation rules, field completeness, source-of-truth discipline)
  • Experience building AI agents, LLM-powered applications, or tool-using assistants that integrate with real business systems (APIs, CRMs, ticketing, data warehouses)
  • Experience designing APIs, webhooks, or integration layers that connect heterogeneous systems and keep data consistent across them
  • Familiarity with Model Context Protocol (MCP) or similar patterns for exposing tools and data sources to AI systems
  • Experience with CRM and go-to-market tooling; familiarity with Clay, HubSpot, Apollo, or similar sales engagement / enrichment platforms is a plus
  • Professional experience supporting sales, sales ops, channel/reseller, or revenue operations workflows with data and automation
  • Experience with SQL and modern data tooling; exposure to Grok, internal AI platforms, or comparable LLM developer tooling is a plus
  • Experience with agent evaluation, guardrails, permissions, and human-in-the-loop patterns for production AI systems
  • Ability to thrive in a fast-changing environment, take initiative on ambiguous problems, and develop new expertise as the product and stack evolve

ADDITIONAL REQUIREMENTS:
  • Must be available to work extended hours and weekends as needed
  • Willingness to travel to customer sites, other SpaceX locations, and events as needed

ITAR REQUIREMENTS:
  • To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.

SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
Applicants wishing to view a copy of SpaceX's Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should reach out to EEOCompliance@spacex.com.

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