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Full Time Content Moderation Jobs (NOW HIRING)

Replit

Staff Software Engineer, Fraud

Foster City, CA · On-site

$250K - $315K/yr

Prior work with abuse reporting pipelines, trust & safety tooling, or content moderation systems ... Full-Time Employee Benefits Include: Competitive Salary & Equity 401(k) Program with a 4% match (US ...

Replit

Staff Software Engineer, Risk

Foster City, CA · On-site

$250K - $315K/yr

Prior work with abuse reporting pipelines, trust & safety tooling, or content moderation systems ... Full-Time Employee Benefits Include: Competitive Salary & Equity 401(k) Program with a 4% match (US ...

NBCUniversal

Coordinator, Social Media Content

Stamford, CT · On-site

$50K - $60K/yr

This full-time position sits on the NBC Sports marketing team and reports to the Associate Manager ... Oversee community management on all platforms, including comment moderation, user-generated content ...

Replit

Senior Software Engineer, Fraud

Foster City, CA · On-site

$210K - $265K/yr

Prior work with abuse reporting pipelines, trust & safety tooling, or content moderation systems ... Full-Time Employee Benefits Include: Competitive Salary & Equity 401(k) Program with a 4% match (US ...

Replit

Senior Software Engineer, Risk

Foster City, CA · On-site

$210K - $265K/yr

Prior work with abuse reporting pipelines, trust & safety tooling, or content moderation systems ... Full-Time Employee Benefits Include: Competitive Salary & Equity 401(k) Program with a 4% match (US ...

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Full Time Content Moderation information

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$23K

$83.2K

$198.5K

How much do full time content moderation jobs pay per year?

As of Jun 8, 2026, the average yearly pay for full time content moderation in the United States is $83,220.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,000.00 and $92,500.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Content Moderation vs Part Time Content Moderation?

AspectFull Time Content ModerationPart Time Content Moderation
Work HoursTypically 40 hours/week, full scheduleLess than 30 hours/week, flexible
CredentialsHigh school diploma or equivalent, sometimes additional certificationsSimilar credentials, often less strict
Work EnvironmentOffice or remote, consistent scheduleRemote or flexible locations, variable hours
Industry UsageCommon in social media, e-commerce, forumsUsed in similar platforms, often for seasonal or supplementary roles

Full Time Content Moderation involves a consistent, full-week schedule with standard credentials, often in a dedicated work environment. Part Time Content Moderation offers flexible hours, suitable for those seeking supplementary income or flexible schedules, with similar credential requirements. Both roles are vital in maintaining online platform safety and community standards.

More about Full Time Content Moderation jobs
What cities are hiring for Full Time Content Moderation jobs? Cities with the most Full Time Content Moderation job openings:
What are the most commonly searched types of Content Moderation jobs? The most popular types of Content Moderation jobs are:
What states have the most Full Time Content Moderation jobs? States with the most job openings for Full Time Content Moderation jobs include:
What job categories do people searching Full Time Content Moderation jobs look for? The top searched job categories for Full Time Content Moderation jobs are:
Full Time Content Moderation jobs near you
Infographic showing various Full Time Content Moderation job openings in the United States as of May 2026, with employment types broken down into 2% Locum Tenens, 96% Part Time, and 2% Nights. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $83,220 per year, or $40 per hour.
Staff Software Engineer, Trust & Safety

Staff Software Engineer, Trust & Safety

Replit

Foster City, CA • On-site

$250K - $315K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 12 days ago

Job description

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation.
About the role
The Trust & Safety team is the front line defending Replit's platform from exploitation. We detect and shut down phishing deployments, prevent cryptomining on free-tier infrastructure, stop LLM token farming, and keep bad actors from weaponizing the platform against our users. This is adversarial work: attackers adapt constantly, and we build the detection systems, heuristics, and automated responses that stay ahead of them.
What makes this role unique is the AI-native nature of Replit's platform. You'll work on problems that barely exist elsewhere: building guardrails for AI-generated code, detecting prompt injection attacks at scale, and using LLMs as a defensive tool against abuse. If you want hands-on experience applying AI to security problems, this is one of the few places you can do it in production with real attackers. You'll own problems end-to-end, from identifying emerging abuse patterns to shipping the systems that stop them at scale.
In this role you will...
  • Design and implement LLM guardrails that detect abuse scenarios in AI-generated code and agent interactions
  • Build AI-powered detection systems that use LLMs to identify malicious patterns, classify threats, and automate response decisions
  • Build and operate abuse detection systems that identify phishing, cryptomining, account takeover, and financial fraud across millions of daily user actions
  • Design automated response mechanisms that enforce platform policies without manual intervention
  • Own the full abuse response lifecycle: detection, investigation, enforcement, and handling appeals alongside Support and Legal
  • Analyze attack patterns using BigQuery and Hex, turning investigation findings into new detection rules
  • Maintain and extend internal detection tools (Slurper, Netwatch) that continuously monitor user activity
  • Integrate and tune security scanners (SAST, SCA) in CI pipelines with tight performance SLAs
  • Track abuse trends, measure detection effectiveness, and adapt defenses as attack patterns evolve
Required skills and experience:
  • 8+ years of experience in security engineering, anti-abuse, trust & safety, or fraud detection
  • Strong programming skills in Python and/or TypeScript for building detection systems and automation
  • Experience with SQL and data analysis at scale (BigQuery, Snowflake, or similar)
  • Experience building or fine-tuning ML/LLM-based classifiers for security or abuse detection
  • Familiarity with prompt injection, jailbreaking, and other LLM-specific attack vectors
  • Ability to investigate complex abuse patterns and translate findings into automated defenses
  • Familiarity with common attack patterns: phishing infrastructure, account takeover, credential stuffing, resource abuse
  • Clear communication skills for working across Security, Support, Legal, and Engineering teams.
Nice to have:
  • Experience at a platform company dealing with user-generated content or compute abuse (hosting providers, cloud platforms, developer tools)
  • Background in fraud detection, payment abuse, or financial crime
  • Familiarity with device fingerprinting, IP reputation, and email validation services
  • Experience with CI/CD security tooling (SAST, SCA, Dependabot, Snyk)
  • Knowledge of container security, Linux internals, or cloud infrastructure (GCP preferred)
  • Prior work with abuse reporting pipelines, trust & safety tooling, or content moderation systems
Tools + Tech Stack for this role
  • Languages: Python, TypeScript, Go, SQL
  • Data: BigQuery, Hex
  • Detection tools: Slurper, Netwatch, Stytch (device fingerprint); ClearOut (email reputation)
  • CI/CD Security: Dependabot, Snyk, SAST/SCA scanners
  • Infrastructure: GCP, Kubernetes
  • Collaboration: Linear, Slack, Zendesk (for abuse reports)
This role may not be a fit if
  • You prefer deep security research over building operational detection systems
  • You want to focus on vulnerability management, pentesting, or bug bounty triage (that's our Security team)
  • You're looking for a role with predictable, well-defined problems rather than constantly adapting to adversarial behavior
  • You prefer working in isolation rather than partnering closely with Support, Legal, and cross-functional teams
  • You're uncomfortable making enforcement decisions that affect real users

This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday.
Full-Time Employee Benefits Include:
Competitive Salary & Equity
401(k) Program with a 4% match (US Only)
Health, Dental, Vision and Life Insurance
Short Term and Long Term Disability
Paid Parental, Medical, Caregiver Leave
Flexible Time Off (FTO) + Holidays
Commuter Benefits (In-Office Only)
Monthly Wellness Stipend
Autonomous Work Environment
In Office Set-Up Reimbursement (In-Office Only)
Quarterly Team Gatherings
In Office Amenities (In-Office Only)
Want to learn more about what we are up to?
  • Meet the Replit Agent
  • Replit: Make an app for that
  • Replit Blog
  • Amjad TED Talk

Interviewing + Culture at Replit
  • Operating Principles
  • Reasons not to work at Replit

To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Apply