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Content Labelling Jobs in California (NOW HIRING)

Meta

Product Content Engineer

San Francisco, CA

$193K/yr

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

Meta

Product Content Engineer

Menlo Park, CA

$193K/yr

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

PSG Global Solutions

Content Writer

San Francisco, CA · On-site

Plan and write content for mobile (across all touch points including UI labels, emails, in-app notifications, and contextual help) * Utilize customer data insights and storytelling to create a rich ...

Instagram

Product Content Engineer

Menlo Park, CA · On-site +1

$162K/yr

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

Instagram

Product Content Engineer

San Francisco, CA · On-site +1

$162K/yr

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

Gallup

Senior Content Designer

San Francisco, CA

$122K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Shape in-product content experiences through thoughtful navigation, labels, wayfinding and interface content that help users confidently accomplish their goals * Collaborate with content strategists ...

Gallup

Senior Content Designer

San Francisco, CA · On-site

$122K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Shape in-product content experiences through thoughtful navigation, labels, wayfinding and interface content that help users confidently accomplish their goals * Collaborate with content strategists ...

NBCUniversal

$134K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We create world-class content, which we distribute across our portfolio of film, television, and ... Ensure creative assets are labelled, archived and managed correctly. Qualifications QUALIFICATIONS ...

NBCUniversal

Associate Content Producer

Universal City, CA · Hybrid

$134K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We create world-class content, which we distribute across our portfolio of film, television, and ... Ensure creative assets are labelled, archived and managed correctly. Qualifications QUALIFICATIONS ...

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All JobsContent Labelling JobsContent Labelling Jobs in California

Content Labelling information

What is a content labelling?

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 does a content labelling do?

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 key skills and qualifications needed to thrive in content labelling, 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 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:

Content Labelling jobs near you
Infographic showing various Content Labelling job openings in California as of August 2026, with employment types broken down into 1% Internship, 74% Full Time, 21% Part Time, 2% Temporary, and 2% Contract. Highlights an 75% Physical, 4% Hybrid, and 21% Remote job distribution.

Product Content Engineer

Meta

San Francisco, CA

$193K/yr

Full-time

Re-posted 28 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

136th of 244 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.
Product Content Engineer 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.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$193,000/year to $269,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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