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$85

How much do remote trust safety jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for remote trust safety in the United States is $49.14, according to ZipRecruiter salary data. Most workers in this role earn between $38.46 and $55.53 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Trust & Safety Specialist, and why are they important?

To thrive as a Remote Trust & Safety Specialist, you need a solid understanding of content moderation, risk assessment, and platform policies, often supported by a relevant degree or prior experience in compliance or online safety. Familiarity with moderation tools, case management systems, and data analysis platforms is typically required. Strong judgment, attention to detail, and effective communication are critical soft skills for handling sensitive cases and collaborating across teams. These skills help maintain safe online environments, protect users, and ensure regulatory compliance in dynamic digital spaces.

What is a Remote Trust & Safety job?

A Remote Trust & Safety job involves working from a remote location to help ensure the safety, security, and well-being of users on digital platforms. People in these roles develop and enforce policies, investigate reports of abuse or harmful content, and work to prevent fraud, harassment, and other risks online. They often collaborate with legal, technical, and customer support teams to create a safe environment for users. Remote Trust & Safety professionals must be detail-oriented, have strong communication skills, and stay current with industry best practices and regulations.

How do remote Trust & Safety professionals typically collaborate with cross-functional teams to address emerging risks?

Remote Trust & Safety professionals work closely with teams such as product management, engineering, legal, and customer support to identify and mitigate risks on digital platforms. Collaboration often happens through virtual meetings, shared documentation, and incident response channels to ensure rapid communication. Trust & Safety team members may provide input on policy updates, participate in investigations, and coordinate responses to urgent threats or policy violations. This cross-team collaboration is essential for maintaining a safe user environment and evolving best practices in response to new challenges.

What is the difference between Remote Trust Safety vs Remote Content Moderator?

AspectRemote Trust SafetyRemote Content Moderator
Required CredentialsExperience in online safety, knowledge of platform policiesBasic understanding of content guidelines, sometimes entry-level
Work EnvironmentFocus on safety policies, risk assessment, and user protectionReviewing and moderating user-generated content
Employer & Industry UsageTech companies, social media platforms, online marketplacesSocial media, gaming, and content-sharing platforms

Remote Trust Safety roles typically involve developing safety policies and managing platform risks, requiring more experience. Remote Content Moderators focus on reviewing content to ensure compliance with guidelines, often at an entry level. Both roles are essential in online platforms but differ in scope and responsibilities.

More about Remote Trust Safety jobs
What cities are hiring for Remote Trust Safety jobs? Cities with the most Remote Trust Safety job openings:
What are the most commonly searched types of Trust Safety jobs? The most popular types of Trust Safety jobs are:
What states have the most Remote Trust Safety jobs? States with the most job openings for Remote Trust Safety jobs include:
What job categories do people searching Remote Trust Safety jobs look for? The top searched job categories for Remote Trust Safety jobs are:
Remote Trust Safety jobs near you
Infographic showing various Remote Trust Safety job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, and 11% Temporary. Highlights an 100% Remote job distribution, with an average salary of $102,217 per year, or $49.1 per hour.
Trust & Safety Engineer (GenAI) - Remote

Trust & Safety Engineer (GenAI) - Remote

micro1 AI

Detroit, MI • Remote

$50 - $90/hr

Part-time

Posted 13 days ago

Job description

Role Title: AI Jailbreak & Prompt-Injection Security Expert


Role Type: Contractor


Location: Remote


micro1 is engaging AI Jailbreak & Prompt-Injection Security Experts to contribute to a cutting-edge customer initiative focused on AI safety and robustness. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Design and implement advanced methodologies for evaluating AI system safety, focusing on ethical jailbreaks, LLM red teaming, prompt injection, and tool-use abuse scenarios.
  2. Create comprehensive cross-domain elicitation strategies to uncover multi-turn and complex adversarial bypass patterns in AI models.
  3. Develop, maintain, and update regression test suites that systematically test for jailbreak susceptibility and prompt-injection vulnerabilities.
  4. Construct robust evaluation frameworks that stress-test AI models against real-world adversarial threats, aiming to enhance overall system robustness.
  5. Collaborate with technical stakeholders to translate security findings into actionable improvements for model safety and risk mitigation.
  6. Document methodologies, findings, and best practices in clear, well-structured written reports and presentations for both technical and non-technical audiences.


Preferred Qualifications

  1. 2+ years of expertise in adversarial machine learning, LLM red teaming, AI safety evaluation, or a closely related security domain
  2. Proven experience researching, testing, or uncovering vulnerabilities related to ethical jailbreaks, prompt injection, tool-use abuse, or adversarial AI attacks.
  3. Advanced degree (PhD, MS) in computer science, cybersecurity, machine learning, or a relevant discipline, or equivalent operational/professional background.
  4. High credibility and recognition within the AI security or adversarial ML community—such as published research, open-source tools, or conference presentations.
  5. Exceptional written and verbal communication skills, with a strong focus on clear documentation and collaborative problem-solving.
  6. Prior participation in multi-disciplinary projects or cross-functional AI safety initiatives is a plus.
  7. Familiarity with current LLM architectures, prompt engineering techniques, and security assessment tools is highly desirable.

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