Ai Trust Safety information
See salary details
$11.54 - $13.92
9% of jobs
$13.92 - $16.30
0% of jobs
$16.30 - $18.68
0% of jobs
$18.68 - $21.07
12% of jobs
$21.39 is the 25th percentile. Wages below this are outliers.
$21.07 - $23.45
25% of jobs
The median wage is $24.04 / hr.
$23.45 - $25.83
14% of jobs
$28.01 is the 75th percentile. Wages above this are outliers.
$25.83 - $28.21
15% of jobs
$28.21 - $30.59
6% of jobs
$30.59 - $32.98
0% of jobs
$32.98 - $35.36
12% of jobs
$35.36 - $37.74
5% of jobs
How much do ai trust safety jobs pay per hour?
As of Aug 29, 2026, the average hourly pay for ai trust safety in the United States is $25.60, according to ZipRecruiter salary data. Most workers in this role earn between $22.36 and $28.61 per hour, depending on experience, location, and employer.
An AI Trust & Safety Specialist is a professional responsible for ensuring that artificial intelligence systems operate ethically, securely, and in compliance with legal and societal standards. They work to identify and mitigate risks such as bias, misinformation, privacy breaches, and harmful content generated by AI models. Their duties often include developing safety guidelines, monitoring AI outputs, responding to incidents, and collaborating with engineers and policy teams to enhance system integrity. These roles are crucial for maintaining user trust and ensuring that AI technologies are used responsibly.
Professionals in AI Trust & Safety roles often navigate the challenge of balancing user safety with platform usability, particularly as AI systems evolve and new risks emerge. They must stay updated on evolving regulations and ethical considerations while working closely with cross-functional teams like engineering, legal, and policy to develop and enforce guidelines. Handling fast-paced, high-volume incident responses and proactively identifying potential threats are also key aspects, requiring strong analytical and communication skills. This environment offers opportunities to deepen expertise in both AI technologies and policy, supporting career advancement into senior trust & safety or policy leadership roles.
To excel as an AI Trust and Safety Specialist, you need a background in data analysis, policy development, and risk assessment, often supported by degrees in computer science, law, or related fields. Familiarity with content moderation tools, machine learning systems, and compliance frameworks such as GDPR is typically required. Strong problem-solving, ethical judgment, and communication skills are crucial for making nuanced decisions and collaborating across teams. These skills ensure that AI systems are safe, fair, and aligned with legal and ethical standards, protecting both users and organizations.
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