Research Internship, Advancing Open Agentic LLMs at The Allen Institute for AI

Seattle, Washington, United States

Apply Now

$94,320 – $140,000Compensation

InternshipExperience Level

InternshipJob Type

YesVisa

AI ResearchIndustries

Requirements

Pursuing PhD (or, in exceptional cases, MS or BS) in computer science or a related field
Strong research background (for master/undergraduate students)
Demonstrated interest in advancing the state of the art in large language model (LLM) based agents and associated environments
Passionate, early-career researcher suitable for full-time 12-week internship
Ability to work from offices in Seattle (on-site requirements vary)

Responsibilities

Participate directly in Ai2's groundbreaking work, including building state-of-the-art AI systems
Develop challenging benchmarks
Conduct extensive experiments
Investigate fundamental questions in agentic LLMs, such as data synthesis, training objectives, learning environments, benchmarks, reasoning, tool use, external memory, safety, reliability, controllability, and theoretical understanding of agentic abilities
Work with a mentor as part of a team with world-class AI researchers and software engineers
Contribute to larger projects such as OLMo and Asta
Utilize Ai2’s compute resources (clusters of A100s and H100s)

Skills

Key technologies and capabilities for this role

LLMsagentic modelsdata synthesistraining objectiveslearning environmentsplanningreasoningtool useAPIscode writing

Questions & Answers

Common questions about this position

What is the compensation for this research internship?

Compensation is dependent on current degree enrollment: Research Intern, Undergrad: $94,320 annually; Research Intern, Masters: $106,110 annually; Research Intern, PhD: $140,000 annually.

Is this internship remote or does it require on-site work?

Persons in these roles are expected to work from our offices in Seattle, with on-site requirements varying based on position and team. Contact your recruiter for specifics on this role.

What qualifications or background are required for this internship?

Candidates should be PhD candidates or master/undergraduate students with a strong research background and demonstrated interest in advancing large language model (LLM) based agents and environments.

What is the team and work environment like at Ai2?

You will work with world-class AI researchers and talented software engineers on team-based research focused on advancing open agentic LLMs, exploring data synthesis, training objectives, and agentic behavior in a mission-driven environment.

What makes a strong candidate for this internship?

Strong candidates are passionate early-career researchers, such as PhD candidates or master/undergraduate students, with a demonstrated interest in advancing LLM-based agents; apply by December 15, 2025 for Spring/Summer 2026 consideration.

The Allen Institute for AI

Advances AI through research and engineering

About The Allen Institute for AI

The Allen Institute for Artificial Intelligence (AI2) focuses on advancing artificial intelligence through research and engineering. It develops technologies that improve machine reasoning, common sense for AI, and language modeling. AI2 works on various projects, such as AllenNLP for natural language processing and EarthRanger for environmental monitoring. Unlike for-profit companies, AI2 operates as a non-profit, relying on grants and donations to fund its initiatives. This allows them to provide their research and tools to the public for free, promoting collaboration in the AI field. The goal of AI2 is to tackle significant scientific and engineering challenges to benefit society.

Seattle, WashingtonHeadquarters

2014Year Founded

N/ACompany Stage

AI & Machine LearningIndustries

201-500Employees

Benefits

Medical

401(k)

Visa Sponsorship

Time off

Catered meals & free snacks

Training & development

Tuition reimbursement

Remote & hybrid work options

Risks

Competition from OpenAI's QwQ-32B model may reduce AI2's market influence.

AI2's reliance on grants poses financial risks during economic downturns.

Open-source models may face intellectual property risks and misuse.

Differentiation

AI2 focuses on open-source models, promoting transparency and collaboration in AI development.

AI2's projects like AllenNLP and Semantic Scholar address diverse scientific and societal challenges.

AI2 operates as a non-profit, relying on grants and donations for funding.

Upsides

AI2's open-source models attract researchers, enhancing collaboration and innovation.

Tülu3 and OLMo-2 models position AI2 as leaders in open-source AI.

AI2's multimodal models meet the demand for integrated data processing in various fields.

Land your dream remote job 3x faster with AI

Try Jobo Free