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Ai Safety Internship Jobs (NOW HIRING)

Center for AI Safety

Research Manager

San Francisco, CA · On-site

About The Center for AI Safety (CAIS) The Center for AI Safety (CAIS) is a leading research and ... Write and contribute to papers , and help hire researchers and interns as the team grows. What We ...

Heelsandtech

Operations Lead at Truthful AI

Berkeley, CA · On-site

$140 - $200/hr

* Recruiting and on-boarding new staff and interns * Overseeing our website and social media ... Help manage our research projects in AI Safety * Budget and fundraising * Interfacing with our ...

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Synapticon GmbH

$12.75 - $17/hr

WHAT WE ARE LOOKING FOR We're looking for a motivated AI/ML Engineering Intern (ideally 6 months, mandatory internship) to join our Safety AI team in Schönaich (close to Stuttgart), with a flexible ...

Synapticon GmbH

WHAT WE ARE LOOKING FOR We're looking for a motivated AI/ML Engineering Intern (ideally 6 months, mandatory internship) to join our Safety AI team in Schönaich (close to Stuttgart), with a flexible ...

Scires

Gen AI Subject Matter Expert

Augusta, GA · On-site

$120 - $160/hr

Providing expert-level training, workshops, and briefings to AIDETL Interns on Generative AI ... Stay at the forefront of the Generative AI field, continuously monitoring advancements in AI safety ...

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How much do ai safety internship jobs pay per hour?

As of Sep 4, 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 does an AI safety intern typically work on?

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.

How to get into working on AI safety?

To work on AI safety as an intern, candidates typically need a strong background in computer science, machine learning, or related fields, along with knowledge of safety and ethics considerations. Gaining experience through relevant coursework, research projects, or contributing to open-source AI safety initiatives can be beneficial. Internships often require programming skills in Python and familiarity with AI frameworks like TensorFlow or PyTorch.

What are the career opportunities in AI safety internship?

An AI safety internship can lead to careers in AI research, machine learning engineering, or safety policy development. Interns often gain experience with programming, data analysis, and safety protocols, which can prepare them for roles in tech companies, research institutions, or regulatory agencies.
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Ai Safety Internship jobs near you
Infographic showing various Ai Safety Internship job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 18% Part Time, 1% Contract, and 1% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $37,171 per year, or $17.9 per hour.

Research Engineer Intern

Center for AI Safety

San Francisco, CA • On-site

Full-time, Internship

Posted 15 days ago

Job description

About The Center for AI Safety (CAIS)
The Center for AI Safety (CAIS) is a leading research and advocacy organization focused on mitigating societal-scale risks from AI. Some of our past achievements include: releasing the most widely used measure of AI capabilities used by all major AI companies, running a large compute cluster to facilitate AI safety research which has been cited over 16,000 times, and publishing a global statement on AI Risk signed by Geoffrey Hinton, Yoshua Bengio and top AI CEOs.
The Role
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.
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.
What We're Looking For
  • 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.

Stipend
$9,700 - $19,000, based on academic experience.
This internship is unpaid; however, CAIS provides the above stipend to assist with academic pursuits and living expenses. The stipend is subject to tax.
Referral Program
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.
Equal Opportunity Employer
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 contact@safe.ai.
We value diversity and encourage individuals from all backgrounds to apply.

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