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User Operations Associate Content Moderation Jobs in California

Hive

Business Operations Associate

San Francisco, CA

$60K - $120K/yr

Together, Hive's solutions are transforming content moderation, brand protection, sponsorship ... Business Operations Associate Role We are looking for a talented leader to oversee business ...

Hive

Business Operations Associate

San Francisco, CA · On-site

$60K - $120K/yr

Together, Hive's solutions are transforming content moderation, brand protection, sponsorship ... Business Operations Associate Role We are looking for a talented leader to oversee business ...

Tubi

Associate, Content Valuation

Los Angeles, CA · Hybrid

Tubi is seeking a highly analytical and commercially minded Associate, Content Valuation to join ... Collaborate closely with FP&A, Data Science, and Business Operations to align valuation outputs ...

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All JobsUser Operations Associate Content Moderation JobsUser Operations Associate Content Moderation Jobs in California

User Operations Associate Content Moderation information

See California salary details

$29.6K

$111.6K

$162.3K

How much do user operations associate content moderation jobs pay per year?

As of Sep 1, 2026, the average yearly pay for user operations associate content moderation in California is $111,621.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,100.00 and $152,000.00 per year, depending on experience, location, and employer.

What does a user operations associate in content moderation do?

A User Operations Associate in Content Moderation is responsible for reviewing user-generated content to ensure it complies with company guidelines and community standards. Their daily tasks may include monitoring posts, identifying and removing inappropriate or harmful material, and responding to user reports or appeals. They play a crucial role in maintaining a safe and positive online environment, often working with other teams to improve moderation policies and user experience. This position requires attention to detail, good judgment, and the ability to handle sensitive or distressing content.

What are the key skills and qualifications needed to thrive as a user operations associate in content moderation?

To thrive as a User Operations Associate in Content Moderation, you need strong analytical skills, attention to detail, and familiarity with content policies, usually supported by a bachelor's degree or relevant experience. Proficiency with moderation platforms, ticketing systems like Zendesk, and knowledge of content management tools are typically required. Excellent communication, resilience, and sound judgment are crucial soft skills for making fair decisions and handling sensitive material. These abilities ensure safe online environments, uphold community standards, and maintain platform integrity.

What are some common challenges faced by user operations associates in content moderation, and how can they be managed effectively?

User Operations Associates in Content Moderation often encounter challenges such as high volumes of user-generated content, exposure to sensitive material, and balancing enforcement of guidelines with user experience. Managing these challenges effectively involves staying up-to-date with platform policies, using available filtering and escalation tools, and practicing self-care to mitigate the impact of difficult content. Collaborating closely with team members and participating in regular training sessions can also help ensure consistent and accurate moderation decisions, while providing support for personal well-being.

What is the difference between User Operations Associate Content Moderation vs User Support Specialist?

AspectUser Operations Associate Content ModerationUser Support Specialist
Primary FocusMonitoring and moderating user-generated content to ensure community guidelines are followedAssisting users with account issues, inquiries, and technical support
Skills & CredentialsKnowledge of content policies, communication skills, attention to detailCustomer service skills, technical troubleshooting, communication skills
Work EnvironmentOnline platforms, moderation tools, often shift-basedCustomer support centers, help desks, remote or in-office
Industry UsageSocial media, online communities, gaming platformsTech companies, SaaS platforms, online services

While both roles involve supporting users, the User Operations Associate Content Moderation primarily focuses on monitoring and managing content to maintain community standards. In contrast, the User Support Specialist handles direct user inquiries and technical issues. Both roles require strong communication skills but differ in their core responsibilities and work environments.

What are popular job titles related to User Operations Associate Content Moderation jobs in California?

For User Operations Associate Content Moderation jobs in California, the most frequently searched job titles are:

What job categories do people searching User Operations Associate Content Moderation jobs in California look for?

The top searched job categories for User Operations Associate Content Moderation jobs in California are:

What cities in California are hiring for User Operations Associate Content Moderation jobs?

Cities in California with the most User Operations Associate Content Moderation job openings:

User Operations Associate Content Moderation jobs near you
Infographic showing various User Operations Associate Content Moderation job openings in California as of August 2026, with employment types broken down into 83% Full Time, 14% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $111,621 per year, or $53.7 per hour.

Senior Machine Learning Engineer - Ads Relevance & Quality

Apple

Cupertino, CA • On-site

$151K - $199K/yr

Full-time

Re-posted 16 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 680 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

At Apple, we focus deeply on our customers' experience. Apple Ads brings this same approach to advertising, helping people find exactly what they're looking for and helping advertisers grow their businesses! Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass.
Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes-from small app developers to big, global brands. Because when advertising is done right, it benefits everyone!
Apple's Ads team is seeking a highly skilled and motivated Machine Learning Engineer to join the Ads Relevance and Quality team. This team is responsible for ensuring high-quality, trustworthy ad experiences by building intelligent systems to evaluate ad relevance, detect low-quality or offensive content, and optimize user satisfaction.
You'll work at the intersection of applied ML, NLP, and content quality-designing models and systems that understand queries, flag inappropriate content, and raise the bar for ad relevance and user trust across billions of queries and impressions.
Description
You'll play a key role in shaping the future of safe, high-quality advertising at Apple. Your work will help ensure that ads remain useful, relevant, and respectful of our users-supporting Apple's values of privacy, trust, and transparency. You'll collaborate with world-class engineers and researchers, apply cutting-edge ML techniques in real-world systems, and have a direct impact on the experience of millions of users every day.
Minimum Qualifications
4+ years of experience applying machine learning at scale in domains such as ad tech, content moderation, search ranking, or recommendation systems
Strong expertise in natural language processing, including offensive content detection, semantic matching
Experience with Transformer-based architectures (e.g., BERT, DistilBERT) and training pipelines in TensorFlow or PyTorch
Familiarity with fine-tuning Large Language Models (LLMs) for downstream tasks such as classification, content moderation, or semantic relevance
Familiarity with quality and fairness evaluation frameworks (precision, recall, coverage, policy alignment, etc.)
Hands-on experience with A/B testing, experimentation frameworks, and performance debugging in production
Proficiency in Python and SQL
Strong problem-solving and communication skills with a focus on translating abstract trust/safety goals into deployable solutions
MS in Computer Science, Machine Learning, NLP, or a related technical field
Preferred Qualifications
7+ years of experience applying machine learning at scale in domains such as ad tech, content moderation, search ranking, or recommendation systems
PhD in Computer Science, Machine Learning, NLP, or a related technical field
Additional experience in Scala or Java

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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