ZipRecruiter

Log In

1

Supervisor Content Moderation Jobs (NOW HIRING)

Wipro Technologies

Trust and Safety Manager

Austin, TX · On-site

$100K - $200K/yr

Coach and mentor Deputy Managers and Supervisors, fostering a high‑performance culture and ... Content Moderation.Experience: >10 YEARS. The expected compensation for this role ranges from $100 ...

Wipro Limited

Trust and Safety Manager

Austin, TX · On-site

$100K - $200K/yr

Leadership Development: Coach and mentor Deputy Managers and Supervisors, fostering a high ... Content Moderation. Experience: >10 YEARS. The expected compensation for this role ranges from $100 ...

Socket.dev

Case Manager Supervisor

Akron, OH · On-site

$19.25 - $24.75/hr

Case Manager Supervisor We are seeking a passionate and experienced Community Team Lead to join our ... Oversee the creation and moderation of community content across various platforms including forums ...

ViaQuest

Case Manager Supervisor

Akron, OH · On-site

$19.25 - $24.75/hr

Case Manager Supervisor We are seeking a passionate and experienced Community Team Lead to join our ... Oversee the creation and moderation of community content across various platforms including forums ...

ViaQuest

Case Manager Supervisor

Akron, OH

$46K - $49K/hr

Case Manager Supervisor Monday-Friday 9am-5pm with flexibility $46,000-$49,000 We are seeking a ... Oversee the creation and moderation of community content across various platforms including forums ...

next page

Showing results 1-20

All JobsBusiness JobsMarketing JobsMarketing Assistant JobsSupervisor Content Moderation Jobs

Supervisor Content Moderation information

See salary details

$15

$38

$77

How much do supervisor content moderation jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for supervisor content moderation in the United States is $38.91, according to ZipRecruiter salary data. Most workers in this role earn between $26.20 and $45.19 per hour, depending on experience, location, and employer.

What does a supervisor content moderation do?

A Supervisor Content Moderation oversees teams of content moderators who review, evaluate, and manage user-generated content on digital platforms to ensure it aligns with company policies and community guidelines. They are responsible for training staff, handling escalated cases, monitoring workflow, and providing feedback to improve moderation quality. Additionally, they analyze moderation data to identify trends and work with other departments to enhance platform safety and user experience. Their role is crucial in maintaining a respectful and secure online environment.

What are the key skills and qualifications needed to thrive as a supervisor content moderation?

To thrive as a Supervisor Content Moderation, you need strong leadership abilities, in-depth knowledge of content policies, and previous experience in content moderation or a related field. Familiarity with content management systems, moderation tools, and reporting dashboards is commonly required, along with certifications in trust and safety or digital rights if available. Excellent communication, conflict resolution, and decision-making skills help manage teams and address complex moderation issues effectively. These skills are important to ensure policy compliance, protect user safety, and maintain a positive online environment.

What are some common challenges faced by a supervisor content moderation, and how can they be effectively managed?

As a Supervisor Content Moderation, one of the main challenges is balancing the enforcement of community guidelines with the need for fairness and consistency across a diverse team. You may also encounter high-stress situations due to exposure to sensitive content and the need to make quick, critical decisions. Effective management involves providing regular training, clear escalation procedures, and emotional support for team members, as well as fostering open communication to address concerns and feedback. Staying updated on platform policies and industry best practices is also essential for maintaining a healthy work environment.

What is the difference between Supervisor Content Moderation vs Content Moderator?

AspectSupervisor Content ModerationContent Moderator
ResponsibilitiesOversees moderation team, develops policies, reviews escalated contentReviews and filters user-generated content based on guidelines
CredentialsTypically requires experience in moderation, communication skillsOften requires high school diploma, attention to detail
Work EnvironmentOffice or remote team management settingRemote or on-site content review stations
Industry UsageSocial media, online platforms, gaming companiesSocial media, online communities, content platforms

In summary, Supervisor Content Moderation manages teams and policies, while Content Moderators focus on reviewing content. Both roles are essential in maintaining online community standards, but supervisors handle oversight and strategy, whereas moderators execute content review tasks.

More about Supervisor Content Moderation jobs

What cities are hiring for Supervisor Content Moderation jobs?

Cities with the most Supervisor Content Moderation job openings:

What states have the most Supervisor Content Moderation jobs?

States with the most job openings for Supervisor Content Moderation jobs include:

What are popular job titles related to Supervisor Content Moderation jobs?

For Supervisor Content Moderation jobs, the most frequently searched job titles are:

Supervisor Content Moderation jobs near you
Infographic showing various Supervisor Content Moderation job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $80,932 per year, or $38.9 per hour.

Principal Machine Learning Engineer, Content Safety

San Mateo, CA • On-site

Roblox
Software Development • 51 - 200 employees
Learn more about Robloxexternal

Full-time

Re-posted 26 days ago

Job description

Why Content Safety?

As a Principal Machine Learning Engineer for Content Safety, you will define the future of proactive moderation, driving immense social impact through cutting-edge, innovative ML solutions, focused on critical and ambiguous safety challenges.

You will set the 3-5 year technical strategy and architectural blueprint for how Roblox uses machine learning for content moderation. You will own the architectural and execution roadmap of massive-scale ML systems that mitigate violative UGC content before it impacts our community.

You will feel a deep sense of responsibility in proactively protecting our community thoughtfully and fairly, while balancing user freedom with platform civility. Your efforts will ensure Roblox remains one of the safest places on the internet for our broad community of over 100 million daily active users.

You will:
  • Define and Own the Technical Vision: Define and lead the multi-year technical vision, architectural strategy, and execution for machine learning solutions in Content Safety, ensuring these systems proactively and effectively detect and mitigate violative content at massive scale.
  • Strategic Stakeholder Partnership: Collaborate with executive-level Product, Data Science, Policy, and Operations leaders to define and prioritize the strategic machine learning roadmap, influencing product strategy and demonstrating the impact of ML on user trust and safety outcomes.
  • Lead Innovation: Oversee the adoption and safe deployment of innovative machine learning techniques (e.g., transfer-learning, self-supervised learning, quantization, LoRA, distillation).
  • Drive End-to-End Product Development: You will not just model; you will build. You will work cross-functionally to construct datasets from scratch where none exist, build auto-labeling pipelines, and ship solutions to solve novel technical problems.
  • Ship Code, Not Just Models: Expect to spend roughly 30-40% of your time on backend and integration work. You will be responsible for integrating your work into the production stack, leveraging modern AI coding tools (e.g., Cursor) to accelerate velocity and handle infrastructure complexity
You have:
  • 8+ years of experience designing, developing, and operating large-scale, high-impact machine learning systems in a production environment.
  • A proven track record of successfully setting the long-term technical direction for an entire ML domain, demonstrating the ability to take ambiguous problems from concept to scaled production impact.
  • Deep expertise in advanced ML architectures and techniques, including Computer Vision (CV) and/or Vision-Language Models (VLMs)
  • Expertise in architecting scalable, real-time ML inference services and robust data pipelines
  • Demonstrated success in leading and resolving high-stakes, cross-functional conflicts and technical disagreements, with an ability to build consensus among diverse stakeholders.
  • Exceptional product sense and strategic planning ability: able to translate platform safety requirements into an achievable, iterative technical roadmap.
You are:
  • A Visionary Architect: Capable of synthesizing complex business and safety goals into a clear, compelling, and actionable technical strategy.
  • A Pragmatic Builder: You are scrappy and impact-oriented. You view undefined data and messy systems as opportunities to build structure rather than blockers to progress.
  • Comfortable with Ambiguity: You thrive in undefined or open-ended problem spaces, providing structure, clarity, and decisive direction to your teams.
  • An Inspiring Leader: Passionate about developing the next generation of technical leaders, managers, and engineers.
  • An Executive Communicator: Highly effective at communicating complex technical concepts to both engineering teams and non-technical executive leadership.
  • Committed to Ethical AI: Dedicated to building ML systems that are fair, transparent, and operate with the utmost responsibility toward user safety and platform civility.

Apply