Overview
Non-degree fellowship (research-based program)
Equivalent to advanced research training (pre-PhD, PhD, or professional level)
Description
Non-degree fellowship (research-based program)
Equivalent to advanced research training (pre-PhD, PhD, or professional level)
Eligibility
Applicants should demonstrate:
Strong research or technical background in AI or related fields
Ability to work on complex, real-world AI safety challenges
Experience in machine learning, programming, or policy research (preferred)
High-quality past work (projects, papers, or practical contributions)
Strong analytical and problem-solving skills
Letters of recommendation (required)
Important: Formal degrees are not mandatory, but candidates must show proven research capability and execution skills.
Additional Information
Degree Level
Non-degree fellowship (research-based program)
Equivalent to advanced research training (pre-PhD, PhD, or professional level)
Available Subjects
The OpenAI Safety Fellowship supports interdisciplinary research across:
Artificial Intelligence
Machine Learning
AI Alignment & Safety
Cybersecurity
Human-Computer Interaction
Data Privacy
Social Sciences (AI governance, ethics, policy)
Key focus areas include:
AI safety evaluation
Robustness of machine learning systems
Privacy-preserving AI methods
Oversight of autonomous AI agents
Alignment of advanced AI systems
Program Structure
Duration: 5 months
Mode: Remote or in-person (Berkeley, USA)
Output-focused: Fellows must produce a significant research contribution such as: Research paper Dataset Safety benchmark Technical report
Research paper
Dataset
Safety benchmark
Technical report
Benefits
Although not a traditional fully funded scholarship, the fellowship offers strong financial and research support:
Monthly stipend for the duration of the program
Access to advanced compute resources
API credits for AI experimentation
Mentorship from OpenAI researchers
Opportunity to work remotely or in Berkeley, California
Workspace support via Constellation (for in-person fellows)
Additionally, fellows gain:
Exposure to cutting-edge AI safety research
Direct collaboration with industry experts
Opportunity to publish impactful research (papers, datasets, benchmarks)
Eligible Nationalities
Open to applicants worldwide
No restriction on nationality
Strong opportunity for international candidates, including those without institutional affiliation
Eligibility Criteria
Applicants should demonstrate:
Strong research or technical background in AI or related fields
Ability to work on complex, real-world AI safety challenges
Experience in machine learning, programming, or policy research (preferred)
High-quality past work (projects, papers, or practical contributions)
Strong analytical and problem-solving skills
Letters of recommendation (required)
Important: Formal degrees are not mandatory, but candidates must show proven research capability and execution skills.
Application Procedure
To apply for the OpenAI Safety Fellowship:
Prepare required documents: Updated CV Research portfolio or past work Letters of recommendation
Updated CV
Research portfolio or past work
Letters of recommendation
Submit application through the official OpenAI fellowship portal
Shortlisted candidates undergo evaluation
Final selections announced
Application Deadline: May 3, 2026 Result Announcement: July 25, 2026
Why This Fellowship Matters
The OpenAI Safety Fellowship stands out because it:
Focuses on AI alignment and safety, one of the most urgent global challenges
Prioritizes real-world impact over academic credentials
Offers access to industry-level AI tools and mentorship
Creates opportunities for researchers outside traditional academic systems
As AI systems become more powerful, the need for experts in safe and ethical AI development is rapidly increasing. This fellowship directly addresses that gap by training a highly specialized talent pool.
Frequently Asked Questions Faqs
Is the OpenAI Safety Fellowship 2026 fully funded? The fellowship is not a traditional fully funded scholarship, but it provides a monthly stipend, compute resources, and mentorship support.
Who can apply for the OpenAI Safety Fellowship? Applicants from any country with strong research or technical backgrounds in AI, machine learning, or related fields can apply.
What is the deadline for the OpenAI Safety Fellowship 2026–2027? The last date to apply is May 3, 2026, and selected candidates will be notified by July 25, 2026.
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