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Intern Llm Researcher Jobs (NOW HIRING)

Cotiviti

Intern - Generative AI Research Engineer

$32 - $40/hr

Overview The Generative AI Research Engineer Intern conducts primary and secondary research of ... Experience with LLM/RAG models and LLM fine-tuning is a plus. * Hands-on experience working with ...

Cotiviti

Intern - Generative AI Research Engineer

$32 - $40/hr

Overview The Generative AI Research Engineer Intern conducts primary and secondary research of ... Experience with LLM/RAG models and LLM fine-tuning is a plus. * Hands-on experience working with ...

Workato

Intern, AI Engineering

San Francisco, CA · On-site

$19.75 - $25.50/hr

We are now filling intern positions for Winter 2026 and Spring 2027 ... Research Areas * LLM Agent Systems : Design and implement intelligent agent architectures for ...

Workato

Intern, AI Engineering

San Francisco, CA · On-site

$19.75 - $25.50/hr

We are now filling intern positions for Winter 2026 and Spring 2027 ... Research Areas * LLM Agent Systems : Design and implement intelligent agent architectures for ...

Samaya AI

ML Research Intern

Mountain View, CA · On-site

The intern will also have the opportunity to reshape Samaya's key product roadmap using their ... Conduct original research in the broad areas of LLM training and evaluation, RAG, RL and AI agents ...

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How much do intern llm researcher jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for intern llm researcher in the United States is $18.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $19.23 per hour, depending on experience, location, and employer.

What is an intern LLM researcher?

Intern LLM Researchers are students or early-career professionals who work temporarily in organizations to assist with research and development of large language models (LLMs) such as GPT or BERT. Their responsibilities often include conducting literature reviews, experimenting with model architectures, cleaning and preparing datasets, and evaluating model performance. These internships provide hands-on experience with state-of-the-art AI technologies and exposure to the latest advancements in natural language processing. Intern LLM Researchers typically work under the guidance of senior engineers or scientists and may contribute to published research or new product features.

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

As an Intern LLM Researcher, you'll typically contribute to ongoing research projects focused on large language models (LLMs), such as developing new model architectures, evaluating model performance, or preparing and cleaning datasets. You may collaborate closely with senior researchers and data scientists, participate in literature reviews, and help design experiments to test new ideas. It's common to work in a team-oriented environment where knowledge-sharing and regular meetings are encouraged, providing you with opportunities to learn from experienced professionals. This role offers hands-on experience with state-of-the-art tools and frameworks, and a chance to build a strong foundation for a future career in AI research.

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

To thrive as an Intern LLM Researcher, you need a solid background in computer science, mathematics, and machine learning, often supported by coursework or research experience in natural language processing (NLP). Familiarity with programming languages like Python and frameworks such as PyTorch or TensorFlow, along with knowledge of transformer architectures, are typically required. Strong analytical thinking, curiosity, and effective communication skills help interns contribute to research projects and collaborate with teams. These competencies are crucial for successfully advancing language model research and translating findings into impactful solutions.

What is the difference between Intern Llm Researcher vs Legal Research Intern?

AspectIntern Llm ResearcherLegal Research Intern
CredentialsLLM student or recent graduateUndergraduate or law student
Work EnvironmentLaw firms, legal departments, research institutionsLaw firms, legal clinics, academic settings
Industry UsageLegal research, policy analysis, academic projectsLegal case research, document review, legal writing

The Intern Llm Researcher typically has an advanced law degree or is pursuing one, focusing on in-depth legal research and analysis. The Legal Research Intern is usually an undergraduate or law student gaining practical experience in legal research tasks. Both roles are common in legal settings, but the Intern Llm Researcher often handles more complex research projects related to academic or policy work, while the Legal Research Intern supports case preparation and document review.

What cities are hiring for Intern Llm Researcher jobs?

Cities with the most Intern Llm Researcher job openings:

What are the most commonly searched types of Llm Researcher jobs?

The most popular types of Llm Researcher jobs are:

What states have the most Intern Llm Researcher jobs?

States with the most job openings for Intern Llm Researcher jobs include:

Intern Llm Researcher jobs near you
Infographic showing various Intern Llm Researcher job openings in the United States as of August 2026, with employment types broken down into 21% Internship, 1% As Needed, 48% Full Time, 27% Part Time, 2% Temporary, and 1% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $38,082 per year, or $18.3 per hour.

Software Engineer Intern - AI/LLM Initiative

WorldQuant

Old Greenwich, CT • On-site

Full-time

Re-posted 16 days ago

Key responsibilities

  • Assist in the design, development, and testing of MCP server components and tools using Python.

  • Support the deployment of new tools and software packages to user environments and assist end-users during installation and initial usage.

  • Participate in testing, data validation, troubleshooting, and create or update technical documentation related to MCPs and user guides.

Job description

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform.

WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement.

Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.

Project Overview

Join our AI/LLM initiative, a pioneering project focused on integrating Large Language Models (LLMs) with WorldQuant's strategy management tools. As an intern, you will contribute to building a platform that offers AI-assisted insights and automates tasks for Portfolio Managers. This is an opportunity to work on foundational infrastructure, data pipelines, and user-facing AI applications.

Role Summary

We are looking for an enthusiastic Intern Software Engineer to support the AI/LLM initiative team. You will assist in various aspects of the software development lifecycle, including development, testing, documentation, and data analysis. A key aspect of this role will involve supporting the deployment of new tools and providing assistance to end-users, particularly Portfolio Managers, during the installation and initial usage phases. This role offers a unique opportunity to gain hands-on experience with Python, API development, financial data systems, tool deployment processes, and cutting-edge AI technologies within a leading quantitative investment firm.

Key Responsibilities

​

  • Assist senior developers in the design, development, and testing of MCP server components and tools using Python.
  • Contribute to the enhancement of existing tools, potentially including our internal command-line data access tools, by addressing smaller bugs or implementing specific features under guidance.
  • Support the development of new MCPs by working on well-defined modules or tasks.
  • Facilitate the deployment of newly developed tools and software packages to user environments.
  • Collaborate with Portfolio Managers and other end-users to guide them through tool installation processes and provide initial user support.
  • Participate in unit testing and integration testing efforts, helping to ensure software quality.
  • Assist in data validation and reconciliation tasks for strategy metrics and features.
  • Help create and update technical documentation for MCPs, related systems, and user guides.
  • Support the investigation of data sources and assist in finalizing data specifications.
  • Collaborate with the team on debugging and troubleshooting technical issues
  • Gain exposure to financial data concepts (PnL, risk) and quantitative trading systems.

Qualifications

Core Skills

  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field.
  • Basic to intermediate proficiency in Python programming.
  • Understanding of software development principles and methodologies.
  • Familiarity with data structures and algorithms.

Domain-Specific Knowledge (Beneficial but not required, strong willingness to learn is key)

  • Interest in finance, quantitative trading, or financial data.
  • Basic understanding of APIs and data formats like JSON or CSV.

Technical Environment Familiarity (Helpful)

  • Experience with Linux or a similar Unix-like operating system.
  • Familiarity with version control systems (e.g., Git).
  • Basic understanding of software deployment concepts.

Soft Skills

  • Strong analytical and problem-solving aptitude.
  • Eagerness to learn and a proactive attitude.
  • Excellent communication and interpersonal skills, with an ability to assist technical and non-technical users.
  • Good teamwork skills.
  • Attention to detail.

Internship Duration

  • Full time for a period of 4 to 6 months starting Aug 2025 

By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction.

Copyright © 2025 WorldQuant, LLC. All Rights Reserved.

WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

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