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Content Labelling Jobs in California (NOW HIRING)

Strong written communication skills and language fundamentals * 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic ...

Documents graphic design content requirements and production processes. Creates, updates, and maintains labeling formats produced with in-house production printing systems that are in compliance with ...

Be Seen First

... labeling, and bottling juices. * Collaborate with team members to ensure smooth operations during ... If you have social media or content creation experience , it's a huge plus! We're especially ...

Be Seen First

... labeling, and bottling juices. * Collaborate with team members to ensure smooth operations during ... If you have social media or content creation experience , it's a huge plus! We're especially ...

Content Group Intern

Los Angeles, CA · On-site

$16.25 - $21.50/hr

... label and distribution powerhouse that connects artists with their global audiences in ways that ... Content Group Intern Location : 7323 Beverly Blvd, Los Angeles, CA 90036 (hello82 HQ) Work Hours

Experienced in data labelling, annotation, content review, or similar detail-oriented work (2+ year preferred) * A Bachelor's degree holder PROJECT DETAILS * Location: 100% Onsite (Bay Area, Seattle ...

Experienced in data labelling, annotation, content review, or similar detail-oriented work (2+ year preferred) * A Bachelor's degree holder PROJECT DETAILS * Location: 100% Onsite (Bay Area, Seattle ...

Experienced in data labelling, annotation, content review, or similar detail-oriented work (2+ year preferred) * A Bachelor's degree holder PROJECT DETAILS * Location: 100% Onsite (Bay Area, Seattle ...

... Label's mission and values through various communication channels. You will play a crucial role in developing content, managing events, and coordinating with different departments to support our ...

Showing results 41-60

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:

Infographic showing various Content Labelling job openings in California as of August 2026, with employment types broken down into 1% Internship, 74% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution.

Finnish Data Labeler

Welocalize

San Francisco, CA • On-site

$26 - $28/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


Welocalize rating

6.5

Company rating: 6.5 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

340th of 500 rated business services


Job description

About the job Finnish Data Labeler
Overview
Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems.
This is a high-impact production role focused on building the datasets that power real-world AI systems. You'll be working with audio, speech, and language data - helping ensure models are trained on accurate, well-structured, and representative inputs.
While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems - where precision and discipline matter at scale.
We're looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows.
Project Details

  • Job Title: Data Labeling Analyst
  • Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)
  • Hours: Full-time, 40 hours per week
  • Employment Type: W2 Full-Time Employee
  • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
  • Pay Rate: $26 - $28/hour
Important: This is a 100% onsite position - remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, or Burlingame. Please only apply if you meet this location requirement.
What You'll Do
  • Execute high-volume data labeling and annotation tasks across speech and voice datasets
  • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale
  • Work with audio and language data, including transcription, categorization, and tagging
  • Maintain strong throughput while meeting quality expectations
  • Escalate unclear or ambiguous cases appropriately
  • Adapt to evolving guidelines and workflows as systems and requirements change
  • Support baseline data production needs for AI training pipelines
  • Contribute to team calibrations and quality alignment sessions
What We're Looking For
  • Native-level fluency in Croatian
  • Strong written communication skills and language fundamentals
  • 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field.
  • Ability to follow detailed instructions and apply guidelines consistently
  • High attention to detail and ability to maintain accuracy in repetitive tasks
  • Comfort working in structured, process-driven environments
  • Ability to manage time effectively and maintain steady output
  • Willingness to ask questions and escalate when needed
  • Basic familiarity with AI, speech technology, or language data is a plus
Benefits
  • Paid Vacation: 6 days
  • Paid Company Holidays: 2 days (Memorial Day and Labor Day)
  • Paid Sick Leave: accrued per applicable state law and company policy
  • Medical, Dental, and Vision Insurance (eligibility applies)
  • Health Savings Account (HSA)
  • 401(k) Retirement Plan
  • Employee Assistance Program
  • Additional voluntary benefits (life, accident, critical illness, etc.)

Onsite Perks (where applicable):
Free breakfast, lunch, and dinner
Stocked micro-kitchens with snacks and beverages
Commuter benefits, including shuttles and bike-to-work options
Unique campus features depending on location

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