Research Internship, OlmoEarth at The Allen Institute for AI

Seattle, Washington, United States

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$94,320 – $140,000Compensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

AI, Environmental Science, ResearchIndustries

Requirements

Students (Ph.D., masters, or exceptional undergraduates) with a strong academic record
Experience and/or knowledge of modern deep learning (LLMs, vision transformers, SSL)
Experience with foundation models (pretraining, finetuning, etc.)
Interest in applying AI to address global challenges like wildfire and food insecurity
Expertise in Python and modern ML engineering stack (GitHub, CI, etc.)

Responsibilities

Define and lead a high-impact research project using spatio-temporal Earth observation data
Train, evaluate, and contribute to the next generation of OlmoEarth
Build open-source software, tools, and benchmarks that enable environmental and humanitarian applications
Author scientific papers and technical reports for high-profile conferences or journals

Skills

Key technologies and capabilities for this role

AIFoundation ModelsEarth Observation DataSpatio-Temporal DataMachine LearningResearchOpen-Source SoftwareScientific Papers

Questions & Answers

Common questions about this position

What is the compensation for the 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 are required for this research internship?

Candidates must be a PhD candidate or a master/undergraduate student with a strong research background.

What is the company culture like at Ai2 for interns?

Ai2 offers an exciting and interactive workplace with team-based, ambitious research focused on big breakthroughs. Interns are paired with a mentor from the OlmoEarth research team and participate in groundbreaking work with world-class AI researchers and talented engineers.

What are the application details and tips for the internship?

Apply by January 4, 2026 at 11:00pm Pacific Time for Summer 2026 consideration; a strong research background as a PhD candidate or master/undergraduate student is key. Check the internship page on the Ai2 website for more about current, future, and past interns.

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.

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