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Content Labelling Jobs in California (NOW HIRING)

Minimum Qualifications • 6+ years of demonstrated experience driving relevance on content platforms, with experience with video creators, ranking systems, content strategy, content labeling and ...

Minimum Qualifications: * 6+ years of demonstrated experience driving relevance on content platforms, with experience with video creators, ranking systems, content strategy, content labeling and ...

... labeling and analysis • 1+ years working with GenAI products, prompt engineering, annotation, and/or content labeling and analysis • Expertise in developing and implementing high-quality datasets ...

... content labeling and analysis * Experience designing and implementing evaluation frameworks, annotation guidelines, or quality rubrics for AI/ML systems * Demonstrated data analysis skills, with ...

Product Content Engineer

Menlo Park, CA · On-site

$162K - $227K/yr

... labeling and analysis • Experience designing and implementing evaluation frameworks, annotation guidelines, or quality rubrics for AI/ML systems • Demonstrated data analysis skills, with ...

... content labeling and analysis * Experience designing and implementing evaluation frameworks, annotation guidelines, or quality rubrics for AI/ML systems * Demonstrated data analysis skills, with ...

Ensure labeling content is accurate, compliant, and consistent with approved technical documentation (Annex II), regulatory submissions, device claims, product configurations, and UDI requirements.

... organizing, labeling, and archiving footage so it's easy to search and pull from * Build Canva ... Has a portfolio of BTS or event content shot for a personal brand, public figure, or creator

... organizing, labeling, and archiving footage so it's easy to search and pull from * Build Canva ... Has a portfolio of BTS or event content shot for a personal brand, public figure, or creator

... organizing, labeling, and archiving footage so it's easy to search and pull from * Build Canva ... Has a portfolio of BTS or event content shot for a personal brand, public figure, or creator

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Content Labelling information

See California salary details

$29.1K

$115.1K

$127.3K

How much do content labelling jobs pay per year?

As of Jun 16, 2026, the average yearly pay for content labelling in California is $115,088.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,400.00 and $126,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Content Labelling position, and why are they important?

To thrive in Content Labelling, you need strong attention to detail, the ability to accurately categorize information, and familiarity with content guidelines, often supported by a high school diploma or higher. Knowledge of content management systems, data annotation tools, and basic spreadsheet or database applications is commonly required. Excellent communication, critical thinking, and time management skills help you work efficiently and effectively in a team-based environment. These qualities are vital to ensure data integrity, consistency, and high standards in labeling content for machine learning or organizational use.

What is a Content Labelling job?

A Content Labelling job involves analyzing and tagging digital content based on predefined guidelines. This can include categorizing text, images, videos, or audio to train machine learning models or improve content moderation systems. Labelers ensure content is accurately classified to help improve AI algorithms in various industries, such as social media, e-commerce, and search engines. Attention to detail and consistency are essential skills for this role.

What are some typical daily tasks for a Content Labelling position?

A Content Labelling professional typically reviews and categorizes large volumes of text, images, audio, or video data according to established guidelines. You may be responsible for flagging inappropriate material, tagging items with relevant keywords or metadata, and ensuring accuracy in datasets used for machine learning or content moderation. Most positions involve working with a dedicated team, and there is often a need to meet daily or weekly targets while maintaining quality. This role requires balancing efficiency with careful attention to detail, as your work directly impacts downstream processes and the effectiveness of automated systems.

What are the most commonly searched types of Content Labelling jobs in California? The most popular types of Content Labelling jobs in California are:
What are popular job titles related to Content Labelling jobs in California? For Content Labelling jobs in California, the most frequently searched job titles are:
What job categories do people searching Content Labelling jobs in California look for? The top searched job categories for Content Labelling jobs in California are:
What cities in California are hiring for Content Labelling jobs? Cities in California with the most Content Labelling job openings:
Infographic showing various Content Labelling job openings in California as of June 2026, with employment types broken down into 40% Full Time, 20% Part Time, and 40% Temporary. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $115,088 per year, or $55.3 per hour.
Lead, Product Content Engineering

Lead, Product Content Engineering

Meta

Menlo Park, CA • On-site

$193K - $269K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

122nd of 190 rated software companies


Job description

A role serving as a key horizontal driver on evals efforts across teams - driving sprints, devising and executing automation strategies for manual efforts, and partnering with PMs to align resourcing. This individual will be expected to take on highest priority work and flex as we continue to transform the team and uplevel the AI capabilities at all levels. Meta's Product Content Engineering team is responsible for the content experiences across platforms and products. PCE works in close partnership with engineering, product, and partnerships teams to improve the discovery and distribution of content to drive value for users at scale. The work is time-sensitive and innovative, situated at the intersection of content expertise and Meta's industry-leading ranking and delivery systems. The main function of a content engineer is to define and execute a content strategy that aims to significantly improve the product experience for consumers. The ideal Content Engineer has technical expertise combined with a capacity to drive change in ambiguous, fast-paced and high growth environments. They will be expected to perform data analytical work, comprehend complex recommendation systems, and test hypotheses while driving alignment across a wide cross-functional team to deliver business impact at scale.
Responsibilities
Develop and execute strategies for FoA product teams to evaluate LLM models at scale across content work.
• Drive sprints for LLM model evaluations and auto judge creation in core PCE areas, while devising and implementing systems to increase evals capacity in areas involving the building of AI creator tools, content quality, content understanding and Search.
• Understand technical product needs and translate those into actionable direction for content-focused cross-functional teams.
• Understand Meta's strategic and competitive position and deliver content strategies and product solutions that are aligned with our mission and recognized best in the industry.
• Define emergent opportunities and drive impact via execution in highly ambiguous areas.
• Agile support and flexibility is required.
Minimum Qualifications
• 6+ years of demonstrated experience driving relevance on content platforms, with experience with video creators, ranking systems, content strategy, content labeling and analysis
• 1+ years working with GenAI products, prompt engineering, annotation, and/or content labeling and analysis
• Expertise in developing and implementing high-quality datasets, annotations, and evaluation metrics that drive the training and improvement of generation models
• Experience working independently and autonomously
• Previous experience collaborating with product and technical teams
• Proven knowledge of industry trends and news
• Experience driving cross-functional projects to build products, respond to urgent needs, preempt issues and address concerns in collaborative and timely fashion
• The Content Engineer should be experienced in content production and understanding, strategy and analysis to execute across a variety of projects, ideally in multiple languages
Preferred Qualifications
• 4+ years of work experience in product management, data analytics, or content operations in a leading content platform
• 2+ years of experience working closely with ranking teams
• Experience in data visualization and tools such as Tableau
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

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