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Ai Safety Jobs (NOW HIRING)

Weekday AI

AI Safety & Red Teaming Specialist

AI Safety & Red Teaming Specialist Role Type: Contractor Location: Remote We are looking for an experienced AI Safety & Red Teaming Specialist to help evaluate and strengthen the safety, security ...

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 ...

Tesla

AI Safety Operator

Austin, TX · On-site

$17.50 - $23.50/hr

Tesla is seeking a highly motivated AI Safety Operator to join their vehicle FSD team. The role involves driving an engineering vehicle for data collection and ensuring operational safety while ...

Tesla

AI Safety Operator

Tempe, AZ · On-site

$17.25 - $23/hr

Tesla is seeking a highly motivated AI Safety Operator to join their vehicle FSD team. The role involves driving an engineering vehicle for data collection and ensuring operational safety while ...

Hark

AI Safety Engineer

San Jose, CA

$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 ...

Tesla

AI Safety Operator

Draper, UT · On-site

$16.50 - $22.25/hr

Tesla is seeking a highly motivated AI Safety Operator to join their vehicle FSD team. In this role, you will be responsible for driving an engineering vehicle for data collection and ensuring the ...

Tesla

AI Safety Operator

Washington, DC · On-site

$20 - $26.75/hr

Tesla is seeking a highly motivated AI Safety Operator to join their vehicle FSD team. In this role, you will be responsible for driving an engineering vehicle for data collection and ensuring the ...

FAS

Manager, AI Safety and Security Policy

Washington, DC · On-site

$121K - $131K/yr

Manager, AI Safety and Security Policy Full-time, 1-year termed FAS staff position with benefits Washington, DC | Hybrid To Sum It Up... What's the "elevator pitch" for the role? FAS is expanding its ...

Mercor

AI Safety Expert - Red Team

New York, NY · Remote

$20 - $22/hr

AI Safety Experts -- English & Bengali Type: Contract Compensation: $20-$22/hour Location: Remote Role Responsibilities * Red team conversational AI models and agents. Focus on jailbreaks, prompt ...

Mercor

AI Safety Expert - Red Team

San Francisco, CA · Remote

$20 - $22/hr

AI Safety Experts -- English & Urdu Type: Contract Compensation: $20-$22/hour Location: Remote Role Responsibilities * Red team conversational AI models and agents to identify jailbreaks, prompt ...

Mercor

AI Safety Expert - Red Team

San Francisco, CA · Remote

$20 - $22/hr

AI Safety Experts -- English & Malayalam Type: Contract Compensation: $20-$22/hour Location: Remote Role Responsibilities * Red team conversational AI models and agents. Perform jailbreaks, prompt ...

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How much do ai safety jobs pay per hour?

As of Jul 26, 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.
More about Ai Safety jobs
What cities are hiring for Ai Safety jobs? Cities with the most Ai Safety job openings:
What are the most commonly searched types of Ai Safety jobs? The most popular types of Ai Safety jobs are:
What states have the most Ai Safety jobs? States with the most job openings for Ai Safety jobs include:
What job categories do people searching Ai Safety jobs look for? The top searched job categories for Ai Safety jobs are:
Ai Safety jobs near you
Infographic showing various Ai Safety job openings in the United States as of July 2026, with employment types broken down into 77% Full Time, 15% Part Time, and 8% Contract. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $67,344 per year, or $32.4 per hour.

AI Safety & Red Teaming Specialist

Weekday AI

Remote

Contractor

Posted 24 days ago

Job description

This role is for one of our clients
$50 - $90/hourpay
Role Title: AI Safety & Red Teaming Specialist
Role Type: Contractor
Location: Remote
We are looking for an experienced AI Safety & Red Teaming Specialist to help evaluate and strengthen the safety, security, and robustness of next-generation AI systems. In this role, you will leverage your expertise in adversarial AI, LLM security, and AI safety to identify vulnerabilities, design evaluation methodologies, and improve the resilience of large language models against real-world threats.
This opportunity is ideal for professionals passionate about AI security, ethical hacking, and developing robust evaluation frameworks for advanced AI systems.
Requirements
Key Responsibilities
  • Design and implement advanced evaluation methodologies for AI system safety, including ethical jailbreak testing, prompt injection detection, LLM red teaming, and tool-use abuse scenarios.
  • Develop cross-domain adversarial testing strategies to uncover complex, multi-turn attack patterns and model vulnerabilities.
  • Build, maintain, and enhance regression test suites to continuously assess jailbreak susceptibility and prompt injection risks.
  • Create comprehensive evaluation frameworks that simulate real-world adversarial threats to improve AI robustness and reliability.
  • Collaborate with technical teams to translate security findings into actionable recommendations for AI safety improvements.
  • Document testing methodologies, findings, and best practices through clear technical reports and presentations for both technical and non-technical stakeholders.
Required Qualifications
  • 2+ years of experience in AI Safety, Adversarial Machine Learning, LLM Red Teaming, AI Security, or a related field.
  • Hands-on experience researching, testing, or identifying vulnerabilities involving prompt injection, ethical jailbreaks, adversarial attacks, or tool-use exploitation.
  • Strong understanding of modern LLM architectures, prompt engineering, and AI safety evaluation methodologies.
  • Experience developing structured security assessments, regression testing frameworks, and adversarial evaluation strategies.
  • Excellent analytical, documentation, and communication skills with the ability to explain complex technical findings clearly.
  • Ability to collaborate effectively within cross-functional technical teams.
Preferred Qualifications
  • Master's or PhD in Computer Science, Cybersecurity, Machine Learning, Artificial Intelligence, or a related discipline.
  • Contributions to AI security research, open-source AI safety tools, conference presentations, or published research.
  • Experience with AI model evaluation frameworks, prompt engineering techniques, and AI security assessment tools.
  • Background in multidisciplinary AI safety, cybersecurity, or adversarial machine learning projects.
Must-Have Skills
  • AI Safety
  • LLM Red Teaming
  • Prompt Injection
  • Adversarial Machine Learning
Good-to-Have Skills
  • Ethical Jailbreaking
  • AI Security
  • Prompt Engineering
  • AI Evaluation Frameworks

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