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Content Moderation Associate Jobs in North Carolina

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Content Moderation Associate information

See North Carolina salary details

$28.6K

$53.8K

$86.3K

How much do content moderation associate jobs pay per year?

As of Aug 30, 2026, the average yearly pay for content moderation associate in North Carolina is $53,797.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,100.00 and $64,100.00 per year, depending on experience, location, and employer.

What is a content moderation associate?

Content Moderation Associates are professionals responsible for reviewing and managing user-generated content on digital platforms to ensure it complies with community guidelines and legal standards. They assess posts, comments, images, and videos for inappropriate, harmful, or illegal material, and take appropriate actions such as removing content or flagging it for further review. Their work helps maintain a safe and respectful environment for online communities, often requiring attention to detail and emotional resilience due to exposure to sensitive content.

What skills and qualifications are needed to be a content moderation associate?

A Content Moderation Associate should have strong analytical skills, attention to detail, and a good understanding of community guidelines, often supported by a bachelor's degree or relevant experience. Familiarity with content management systems, workflow tools, and sometimes AI-based moderation platforms is typically required. Excellent communication, emotional resilience, and sound judgment are crucial soft skills in this role. These abilities ensure that online platforms remain safe, respectful, and compliant with legal and ethical standards.

What are common challenges faced by content moderation associates and how can they be managed?

Content Moderation Associates often encounter emotionally challenging or graphic material while reviewing user-generated content. Managing exposure to such material can be difficult, but most organizations provide resources like counseling, regular breaks, and peer support groups to help maintain well-being. Additionally, clear guidelines and escalation policies are in place to ensure associates have support when making complex decisions. Building resilience and utilizing available support systems are key to thriving in this role.

How much do content moderation associates get paid?

Content moderation associates typically earn between $12 and $20 per hour, depending on experience, location, and the company. Entry-level roles may start at the lower end, while experienced moderators or those working for larger firms can earn higher wages, often with benefits and flexible schedules.

What are the most commonly searched types of Content Moderation jobs in North Carolina?

The most popular types of Content Moderation jobs in North Carolina are:

What are popular job titles related to Content Moderation Associate jobs in North Carolina?

For Content Moderation Associate jobs in North Carolina, the most frequently searched job titles are:

What job categories do people searching Content Moderation Associate jobs in North Carolina look for?

The top searched job categories for Content Moderation Associate jobs in North Carolina are:

Content Moderation Associate jobs near you

Senior Associate, AI Security Engineer

Charlotte, NC • On-site

Jobtailor
See more jobs at Jobtailorexternal

$120 - $170/hr

Other

Posted 24 days ago

Job description

  • Engineer and deploy security controls for AI/ML and Generative AI systems, including model-level, data-level, and platform-level protections
  • Implement AI guardrails and safety controls (e.g., prompt injection defenses, content safety filters, policy enforcement, model access controls)
  • Support secure AI platform onboarding for internal teams, ensuring alignment with Truist AI Security Standards and Review Processes
  • Perform technical security assessments of AI systems and cloud-hosted AI services
  • Design and implement Infrastructure as Code (IaC) using Terraform and CloudFormation
  • Build and maintain CI/CD pipelines (GitLab) for security tooling, guardrails, and configuration-as-code
  • Automate operational workflows using Python and scripting to reduce manual security operations
  • Engineer secure, scalable cloud environments supporting AI workloads across AWS and Azure
  • Implement and integrate cloud security tooling (e.g., Wiz) to provide visibility and control over AI assets
  • Secure containerized and orchestrated workloads supporting AI pipelines (ECS, EKS, Kubernetes)
  • Partner with AI platform teams, application engineers, cloud security, and governance stakeholders to embed security into AI delivery
  • Contribute to the evolution of enterprise AI security standards, patterns, and reference architectures
  • Support incident response, threat modeling, and remediation activities related to AI systems
Requirements
  • Bachelor’s degree or equivalent education, training, and work-related experience
  • Minimum of 3 years of experience in security engineering or related cybersecurity roles
  • Developing knowledge in cybersecurity principles, theories, and concepts
  • Experience in software development lifecycle security practices
  • Proficiency in implementing and managing information security technologies
  • Hands-on experience with Azure and/or AWS
  • Infrastructure as Code experience with Terraform and CloudFormation
  • Experience building and managing CI/CD pipelines (GitLab)
  • Experience implementing or operating cloud security tooling (e.g., Microsoft Purview, Sentinel, Wiz or equivalent)
  • Experience securing AI/ML or Generative AI systems in production environments
  • Familiarity with AI-specific security controls such as prompt injection mitigation, content safety/moderation controls, model access and usage restrictions, and secure data handling for AI pipelines
  • Exposure to Azure and Azure-hosted AI services.
  • Experience working in regulated environments with strong risk and governance requirements.
Core Competencies

Demonstrates expertise in engineering and deploying security controls for AI/ML systems, with a strong focus on Infrastructure as Code using Terraform and CloudFormation. Proficient in implementing cloud security tooling and managing CI/CD pipelines to ensure secure AI operations across AWS and Azure environments.

Highest-signal resume keywords
  • Security Engineering
  • Infrastructure as Code (IaC)
  • Cloud Security Tooling
  • CI/CD Pipeline Management
  • AI/ML Security Controls
ATS Optimization Keywords Hard Skills
  • Security Engineering
  • Infrastructure as Code (IaC)
  • Cloud Security Tooling
  • CI/CD Pipeline Management
  • Python Scripting
  • AI/ML Security Controls
  • Technical Security Assessments
  • Prompt Injection Mitigation
  • Content Safety Controls
  • Model Access Controls
Industry Keywords
  • Cybersecurity Principles
  • Software Development Lifecycle Security
  • Regulated Environments
  • Risk and Governance Requirements
  • AI Security Standards
Tools & Technologies
  • Terraform
  • CloudFormation
  • GitLab
  • AWS
  • Azure
  • Wiz
  • Microsoft Purview
  • Sentinel
  • ECS
  • EKS
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