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Ai Safety Jobs (NOW HIRING)

Hark

AI Safety Engineer

San Jose, CA · On-site

$150K - $300K/yr

Experience at a T&S-focused company (Cinder, Hive AI, Thorn, Modulate, Discord Safety, etc.). * Familiarity with multimodal content (text, voice, image) moderation. * Background in CSAM detection ...

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How much do ai safety jobs pay per hour?

As of Jul 3, 2026, the average hourly pay for ai safety in the United States is $32.38, according to ZipRecruiter salary data. Most workers in this role earn between $25.48 and $39.18 per hour, depending on experience, location, and employer.

Are there any jobs that will be safe from AI?

Ai Safety professionals focus on developing and implementing safety measures for AI systems, which are less likely to be automated due to the specialized knowledge required. Jobs that involve complex decision-making, creativity, emotional intelligence, or human interaction are generally more resistant to AI automation. Continuous learning and skills in ethics, policy, or interdisciplinary fields can help maintain job security in this area.

What is an AI Safety job?

An AI Safety job focuses on ensuring that artificial intelligence systems operate safely, reliably, and ethically. Professionals in this field work to prevent unintended consequences, mitigate risks, and align AI behavior with human values. Roles may involve technical research, policy development, or implementing safety frameworks in AI systems. AI Safety experts collaborate with engineers, ethicists, and policymakers to address concerns such as bias, robustness, and long-term risks of advanced AI.

Is AI safety a good career?

AI safety is a growing field focused on developing methods to ensure artificial intelligence systems operate reliably and ethically. Careers in AI safety often require knowledge of machine learning, programming, and ethics, and may involve research, policy, or technical development. It can be a rewarding career for those interested in the responsible development of AI technologies.

What are some common challenges faced by professionals working in AI Safety?

Professionals in AI Safety often encounter the challenge of anticipating and mitigating unforeseen consequences of complex machine learning systems. The field requires staying updated with rapid advancements in AI technologies while ensuring that safety protocols and ethical standards keep pace. Collaborating with diverse teams—including engineers, ethicists, and product managers—is typical, and clear communication is vital to align safety goals with broader organizational objectives. Addressing shifting regulatory landscapes and evolving public perceptions around AI also adds dynamic aspects to the role.

What are the key skills and qualifications needed to thrive in the Ai Safety position, and why are they important?

To thrive in AI Safety, a strong background in computer science, mathematics, and machine learning is typically required, often supported by an advanced degree in a related field. Familiarity with AI frameworks like TensorFlow or PyTorch, formal verification tools, and knowledge of ethical AI guidelines is highly beneficial. Strong analytical thinking, attention to detail, and collaborative communication skills are essential for success in multi-disciplinary teams. These competencies are crucial for identifying, evaluating, and mitigating risks in AI systems to ensure their safe and responsible deployment.

What careers are in AI safety?

Careers in AI safety include roles such as AI safety researcher, machine learning engineer, and AI policy analyst. These positions often require expertise in machine learning, programming, ethics, and safety protocols, and may involve working in research labs, tech companies, or policy organizations to develop safe and reliable AI systems.

How to get a job in AI safety?

To get a job in AI safety, candidates typically need a strong background in computer science, machine learning, or related fields, along with knowledge of safety protocols and ethical considerations. Gaining experience through research, internships, or projects focused on AI robustness and alignment can be beneficial, as well as staying updated with industry developments and obtaining relevant certifications or advanced degrees. Strong analytical skills and familiarity with programming languages like Python are also important for success in this field.
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Ai Safety jobs near you
Infographic showing various Ai Safety job openings in the United States as of June 2026, with employment types broken down into 62% Full Time, 25% Part Time, and 13% Contract. Highlights an 62% In-person, and 38% Remote job distribution, with an average salary of $67,344 per year, or $32.4 per hour.

AI Safety Specialist (AI Engineering)

Hyphen Connect Limited

Seattle, WA

Other

Posted 10 days ago

Job description

We are searching for an AI Safety Specialist who will play a crucial role in enhancing the security and robustness of language models. You will ensure the safe deployment of AI systems by conducting adversarial testing, implementing protective measures, and aligning AI behavior with ethical principles.

Responsibilities:

  • Conduct adversarial testing on LLMs and multimodal agents.
  • Implement guardrails and real-time filtering for autonomous tool use.
  • Develop constitutional AI principles and assist with RLHF alignment pipelines.

Qualifications:

  • Background in cybersecurity, prompt engineering, or adversarial ML.
  • Experience with jailbreak taxonomies and automated red-teaming frameworks.
  • Strong analytical mindset for identifying edge cases.

Apply