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Ai Safety Jobs (NOW HIRING)

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AI Safety Operator Driver

Austin, TX · On-site

$36K - $44K/yr

AI Safety Operator Driver Location: Austin, TX Employment Type: Full time Shift: 1st, 2 nd and 3rd Job Summary We are seeking a highly skilled and safety-focused AI Safety Operator Driver to support ...

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 ...

Aquent

Applied AI Safety Engineer

Manhattan, NY · On-site +1

$72 - $78/hr

This is a unique opportunity to own ambiguous safety problems from concept to deployment, making a tangible difference in the ethical evolution of AI. What You'll Do * Develop comprehensive threat ...

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AI Safety Operator Driver

Austin, TX · On-site

$17.50 - $23.50/hr

AI Safety Operator Driver Location: Austin, TX Employment Type: Full time Shift: 1st, 2 nd and 3rd Job Summary We are seeking a highly skilled and safety-focused AI Safety Operator Driver to support ...

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 ...

FAS

Manager, AI Safety and Security Policy

Washington, DC · On-site

$122K - $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 ...

FAS

Manager, AI Safety and Security Policy

Washington, DC · On-site

$75 - $90/hr

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 ...

Weekday AI

Cybersecurity SWE - AI Safety

$60 - $90/hr

No prior AI/ML experience is required - we'll train you on the workflow. Requirements What you'll do * Write expert-level prompts across specialized cybersecurity topics. * Evaluate and annotate ...

Aisafety

$160 - $250/hr

Since 2022, we've trained over 10,000 people in AI safety and biosecurity. Our alumni work at Anthropic, DeepMind, the UK AI Safety Institute, and dozens of other organisations shaping how ...

New

mpathic

AI Safety Expert (Seattle or Boston)

Seattle, WA · On-site

$30/hr

About the role mpathic is seeking AI Safety Experts for a temporary project to support confidential projects evaluating and improving the safety, reliability, and real-world behavior of frontier AI ...

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How much do ai safety jobs pay per hour?

As of Sep 7, 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.

What is an AI Safety?

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.

What are the key skills and qualifications needed to thrive in AI Safety?

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 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.

How to get into working on AI safety?

To work in AI safety, develop a strong foundation in machine learning, computer science, and ethics through relevant degrees or online courses. Gaining experience with AI research, programming skills in Python, and familiarity with safety frameworks or tools like formal verification can improve your prospects. Engaging with AI safety communities and staying updated on current research also helps build expertise in this specialized field.
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ai safety jobs near you
Infographic showing various Ai Safety job openings in the United States as of August 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $67,344 per year, or $32.4 per hour.

AI Safety Operator Driver

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Austin, TX • On-site

$36K - $44K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago

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Job description

Job Title: AI Safety Operator Driver
Location: Austin, TX
Employment Type: Full time
Shift: 1st, 2nd and 3rd

Job Summary

We are seeking a highly skilled and safety-focused AI Safety Operator Driver to support technology in real-world ride-sharing scenarios. This role centers on safe vehicle operation, monitoring autonomous systems, engaging with riders, and providing detailed feedback to improve system performance and safety.

Key Responsibilities

  • Safely operate engineering vehicles equipped with FSD (Supervised), taking control when needed to ensure passenger and public safety.
  • Professionally interact with riders, including greetings, answering questions, and supporting route adjustments.
  • Navigate construction zones, pedestrian-heavy areas, and complex traffic conditions while monitoring system behavior.
  • Complete pre-shift readiness checks (software, sensors, vehicle cleanliness).
  • Maintain exemplary driving behavior and situational awareness at all times.
  • Travel domestically as required to support testing in various environments and weather conditions.
  • Provide insights and feedback to help improve safety processes, data collection, and system performance.
  • Produce detailed daily reports documenting observations, issues, and system behavior.

Requirements.

  • Valid driver’s license.
  • Strong hazard recognition and situational awareness.
  • Excellent written and verbal communication skills.
  • Tech-savvy with strong PC proficiency, including Microsoft Office and data tools.
  • Flexibility to work variable shifts, including weekends (15% differential applies).
  • Willingness to travel and work overtime as needed.
  • Ability to meet safety-sensitive role requirements, including drug testing.