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Content Risk Reviewer Jobs (NOW HIRING)

Legal Counsel - Media

Washington, DC · On-site

$110K - $150K/yr

Provide practical legal advice on intellectual property, marketing, content, risk, compliance, and privacy matters. * Support content, marketing, and media initiatives by reviewing campaigns and ...

Maintain monitoring schedules and communicate upcoming review deadlines to relevant stakeholders ... Own development of senior leadership and board-level risk reporting, ensuring content is accurate ...

New

End Cyber Risk. We're looking for a Content Engineer, Campaigns & Content to be a part of making ... Ensure technical and product accuracy by coordinating SME review cycles and maintaining clear ...

Translate complex fraud and risk concepts into accessible, audience-focused narratives * Optimize ... Maintain efficient processes for content production, reviews, and updates Performance ...

Content Moderator

San Jose, CA · Remote

$129K/yr

Review and moderate user-generated content (text, images, video, audio) in line with community ... Escalate complex or high-risk cases to internal stakeholders * Ensure high accuracy and consistency ...

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Content Risk Reviewer information

What job makes $10,000 a month without a degree?

A Content Risk Reviewer can potentially earn around $10,000 per month with experience and strong analytical skills, especially in high-demand industries like finance or technology. These roles often require attention to detail, familiarity with content policies, and sometimes certifications, but typically do not require a college degree.

How much does a Netflix content reviewer make?

A Netflix content reviewer typically earns between $40,000 and $60,000 annually, depending on experience and location. The role involves evaluating content for compliance and quality, often requiring strong attention to detail and familiarity with content guidelines.

How to make 1000 a week remote?

A Content Risk Reviewer can earn $1,000 a week by working full-time hours, typically 40 hours, and earning an hourly rate of around $25 or more. Developing strong attention to detail, understanding content policies, and gaining experience can help increase earning potential. Some roles may require certifications or familiarity with content moderation tools to qualify for higher-paying positions.

How do I become a content risk reviewer?

To become a content risk reviewer, candidates typically need strong attention to detail, knowledge of platform policies, and experience with content moderation tools. Relevant skills include critical thinking, communication, and familiarity with content guidelines, often supported by training or certifications in online safety or digital content management.

What is the difference between Content Risk Reviewer vs Content Moderator?

AspectContent Risk ReviewerContent Moderator
CredentialsTypically requires familiarity with content policies, risk assessment, and sometimes certifications in compliance or content reviewOften requires knowledge of platform policies, communication skills, and sometimes basic certifications in social media or content management
Work EnvironmentUsually in office or remote settings, analyzing flagged content for potential risks or violationsPrimarily in social media, forums, or online platforms, monitoring live or flagged content
Employer & IndustryTech companies, social media platforms, online marketplacesSocial media companies, online forums, content sharing platforms

While both roles involve reviewing online content, Content Risk Reviewers focus on assessing potential risks and compliance issues, whereas Content Moderators primarily enforce platform policies by removing or flagging inappropriate content. The roles often overlap but differ in scope and focus.

More about Content Risk Reviewer jobs
What cities are hiring for Content Risk Reviewer jobs? Cities with the most Content Risk Reviewer job openings:
What states have the most Content Risk Reviewer jobs? States with the most job openings for Content Risk Reviewer jobs include:
What job categories do people searching Content Risk Reviewer jobs look for? The top searched job categories for Content Risk Reviewer jobs are:
Infographic showing various Content Risk Reviewer job openings in the United States as of June 2026, with employment types broken down into 86% Full Time, 7% Part Time, and 7% Contract. Highlights an 72% In-person, 7% Hybrid, and 21% Remote job distribution.

Senior Research Scientist/ Data Scientist

Comtech, LLC

Seattle, WA • On-site

Full-time

Posted 23 days ago


Job description

Company Description

Comtech is a woman-owned small business focused on delivering end-to-end solutions and products. Since 1998, we have successfully serviced enterprises across the public and private sectors, and the Department of Defense. Our services span all aspects of business, providing a holistic approach for managing an organization.

Vision & Mission

Comtech delivers value to customers through three key attributes: Innovation, Transformation, and Information. Comtech's founder Shailendra Sharma believes the solutions and products should focus on resolving everyday problems to enable simplicity. Comtech is committed to providing technical innovations and tools that empower organizations to facilitate decision-making that result in business transformations.

Certifications

Our commitment to quality is adopted throughout the organization and sets the foundation for delivering our full suite of capabilities. Comtech implements methodologies and processes based on the IT Infrastructure Library (ITIL) v.3 Framework across enterprise infrastructure operations. These are reinforced through our organization's externally accredited certifications, which include ISO/IEC 20000-1:2011 (Corporate ITIL Service Delivery), ISO 27001:2013 (Corporate Security), ISO 9001-2008 (Corporate Quality) and CMMI Level 3 (Quality and Uniformity).

Job Description

Are you interested in shaping the future of movies, television, and digital video? Do you want to define what video content customers are watching? Video Direct (VD) is a self-service platform that enables any video creator to publish video to reach millions of customers globally and monetize from the sales and consumption.

Video content risk inspection team is chartered to protect and mitigate any inappropriate/disappointing content as well as any copyright infringement content to provide a trust-worthy customer experience as well as secure existing provider relationships.

On the team you'll be able to get your hands on lots of technologies to build distributed, scalable, low-latency solutions for real-world customer facing problems. We are looking for an Senior Research Scientist who can work on different aspects of the video content, like text metadata, video, audio and images to apply from variety of techniques in computer vision, deep learning, machine learning and image processing algorithms to build content risk inspection systems. You will be contributing to a platform from the very early stages which will process terabytes of video content data. You will collaborate with other research scientist across to define the scope of the product, identify and initiate investigations of new technologies, prototype, test solutions and ability to web-lab performance between different approaches that generates a high-precision, low latency prediction models and deliver an exceptional customer experience. You will work closely with the software development teams to build robust vision-based solutions for customer-facing applications. You should be comfortable with a large degree of ambiguity and relish the idea of solving problems that, frankly, haven't been solved at scale before. Along the way, we guarantee that you'll learn a ton, have fun and make a positive impact on millions of people.

Qualifications

  • PhD in Computer Science, Machine Learning, Operational Research, Statistics or a related quantitative field
  • Depth and breadth in state-of-the-art computer vision and machine learning technologies
  • 5+ years of hands-on experience in predictive modeling and analysis
  • Strong algorithm development experience
  • Skills with Java, C++, or other programming language, as well as with R, MATLAB, Python or similar scripting language
Additional Information

  • 10+ years of relevant experience in industry and/or academia.
  • Publications at top-tier peer-reviewed conferences or journals
  • Proven track record of innovation in creating novel algorithms and advancing the state of the art
  • Depth and breadth in state-of-the-art computer vision and machine learning technologies.