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Ai Safety Internship Jobs (NOW HIRING)

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AI Research Internship

Oakland, CA · Hybrid

$50 - $60/hr

This is a research-focused internship where you will contribute directly to activities aimed at ... Interest in assurance, safety, and trustworthiness of AI systems * Strong written and verbal ...

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 ... Familiarity with responsible AI principles, AI safety, and techniques for mitigating bias and ...

CACI International, Inc.

AI Prompt Engineer

Ashburn, VA · On-site

... experience , internships, or relevant academic project work. * 1+ year of hands-on experience ... Understanding of AI safety considerations (e.g., prompt injection, bias, data privacy) * Exposure ...

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How much do ai safety internship jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for ai safety internship in the United States is $17.87, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $21.15 per hour, depending on experience, location, and employer.

What is an AI Safety Internship?

An AI Safety Internship is a temporary position, usually for students or recent graduates, focused on researching and developing methods to ensure artificial intelligence systems are safe, reliable, and aligned with human values. Interns typically work on projects that might include risk assessment, robustness testing, interpretability, or ethical implications of AI technologies. These internships are often offered by universities, research institutes, or tech companies and provide hands-on experience in a rapidly growing field. Participants gain exposure to cutting-edge research and contribute to solving some of the most important challenges in AI development.

What types of projects do AI Safety Interns typically work on during their internship?

As an AI Safety Intern, you can expect to contribute to projects like developing tools for identifying and mitigating risks in machine learning models, performing literature reviews on safety methodologies, and assisting with experiments to test model robustness. You may collaborate with research scientists, engineers, and other interns to brainstorm solutions and analyze results. The work often involves both independent tasks and team-based problem-solving, offering exposure to real-world challenges in ensuring AI systems operate safely and ethically.

What are the key skills and qualifications needed to thrive as an AI Safety Intern, and why are they important?

To thrive as an AI Safety Intern, you typically need a strong background in computer science, mathematics, or a related field, along with foundational knowledge of machine learning and ethics. Familiarity with programming languages like Python, machine learning frameworks (such as TensorFlow or PyTorch), and experience with relevant research tools are often required. Critical thinking, effective communication, and a proactive learning attitude set standout candidates apart in this rapidly evolving area. These skills and qualities are crucial for contributing to responsible AI development and addressing complex safety challenges in the field.
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Ai Safety Internship jobs near you
Infographic showing various Ai Safety Internship job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $37,171 per year, or $17.9 per hour.

Research Engineer Intern (Fall 2026)

Center for AI Safety

San Francisco, CA • On-site

$9.7K - $19K/yr

Full-time

Posted 24 days ago

Job description

Introduction
The Center for AI Safety (CAIS) is a leading research and field-building organization on a mission to reduce societal-scale risks from AI. Alongside our sister organization, the CAIS Action Fund, we tackle the toughest AI issues with a mix of technical, societal and policy solutions.
 
As a research engineer intern here, you will work very closely with our researchers on projects in areas such as AI security, machine ethics, AI alignment, and benchmarking AI risks. We will assign you a dedicated mentor throughout your internship, but we will ultimately be treating you as a colleague. By this we mean, you will have the opportunity to debate for your own experiments or projects, and defend their impact. You will plan and run experiments, conduct code reviews, and work in a small team to create a publication with outsized impact. You will leverage our internal compute cluster to run experiments at scale on large language models.
 
Timing
This application is for the full-time fall internship position. Applicants must be enrolled in university to be considered. Applications are due by July 31, 2026. 
You might be a good fit if you:
  • Are a current student in machine learning or a related field. Exceptional candidates with a strong publication record may be considered regardless of degree level.
  • Have co-authored at least one paper published at a top ML conference venue (e.g., NeurIPS, ICML, ICLR, ACL, CVPR). Workshop papers are considered, though peer-reviewed conference publications are strongly preferred. Publications in journals such as IEEE or Springer Nature are typically given less weight. 
  • Have a track record of empirical research in AI or ML, particularly in AI safety-relevant areas (e.g. adversarial robustness, calibration, benchmarking). We weight empirical research heavily; candidates with primarily theoretical backgrounds are generally not a strong fit.
  • Alternatively, have made meaningful research contributions at a leading AI lab.
  • Are able to read an ML paper, understand the key result, and understand how it fits into the broader literature.
  • Are comfortable setting up, launching, and debugging ML experiments.
  • Are familiar with relevant frameworks and libraries (e.g., PyTorch).
  • Communicate clearly and promptly with teammates.
  • Take ownership of your individual part in a project.
$9,700 - $19,000 a year
This internship is unpaid; however, CAIS provides the above stipend to assist with academic pursuits and living expenses. The stipend is subject to tax.
Know someone who could be a great fit for this role? Submit their details through our Referral Form. If we end up hiring your referral, you'll receive a $1,500 bonus once they've been with CAIS for 90 days.
 
The Center for AI Safety is an Equal Opportunity Employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, ancestry, age, disability, medical condition, marital status, military or veteran status, or any other protected status in accordance with applicable federal, state, and local laws. In alignment with the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.
 
If you require a reasonable accommodation during the application or interview process, please contact [email protected].
 
We value diversity and encourage individuals from all backgrounds to apply.
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