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Data Labeling Jobs in California (NOW HIRING)

Welocalize

Data Labeling Associate

Burlingame, CA

$34/hr

What if your language expertise could help improve the speech and voice AI systems used by millions of people worldwide? WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and

Welocalize

Data Labeling Associate

San Francisco, CA

$34/hr

What if your language expertise could help improve the speech and voice AI systems used by millions of people worldwide? WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and

Welocalize

Data Labeling Associate

Sunnyvale, CA

$34/hr

What if your language expertise could help improve the speech and voice AI systems used by millions of people worldwide? WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and

Welocalize

Data Labeling Associate

Burlingame, CA

$34/hr

What if your language expertise could help improve the speech and voice AI systems used by millions of people worldwide? WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and

Welocalize

Data Labeling Associate

Sunnyvale, CA

$34/hr

What if your language expertise could help improve the speech and voice AI systems used by millions of people worldwide? WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and

Welocalize

Data Labeling Associate

San Francisco, CA

$34/hr

What if your language expertise could help improve the speech and voice AI systems used by millions of people worldwide? WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and

Aerotek

Data Labeling Specialist

San Jose, CA

$30/hr

Job Description The Data Labeling Specialist supports the development of advanced AI and robotics systems by carefully annotating images and video streams from humanoid robots. This role focuses on

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$10

$24

$56

How much do data labeling jobs pay per hour?

As of Jun 22, 2026, the average hourly pay for data labeling in California is $24.00, according to ZipRecruiter salary data. Most workers in this role earn between $15.77 and $27.54 per hour, depending on experience, location, and employer.

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

To thrive in Data Labeling, you need meticulous attention to detail, strong analytical abilities, and basic computer literacy, often supported by a high school diploma or equivalent. Familiarity with data annotation tools, image or text editing software, and experience with platforms like Labelbox or Amazon SageMaker Ground Truth are commonly advantageous. Exceptional concentration, patience, and the ability to follow precise instructions are valuable soft skills in this position. These skills and qualities are essential for ensuring the accuracy and consistency of labeled datasets, which are critical for training reliable AI and machine learning models.

What is a Data Labeling job?

A Data Labeling job involves annotating or tagging data, such as images, text, audio, or videos, to help train machine learning models. Labelers follow specific guidelines to classify data accurately so that AI systems can learn patterns and make predictions. This role is essential in fields like computer vision, natural language processing, and speech recognition. Strong attention to detail and consistency are crucial for ensuring high-quality training datasets.

What are the typical day-to-day responsibilities of a Data Labeling professional?

A Data Labeling professional is primarily responsible for reviewing and accurately tagging images, text, audio, or video data according to specified guidelines. Daily tasks often include managing large datasets, using annotation software to classify data, and verifying the quality and accuracy of the labels. Collaboration with data scientists, project managers, and other annotators is common, especially when clarifying labeling guidelines or resolving ambiguities. Attention to detail is crucial, as high-quality labeled data directly impacts the effectiveness of machine learning models and AI applications. Most positions are structured in team environments, where productivity and communication skills help ensure project deadlines are met.

What are data labeling jobs?

Data labeling jobs involve annotating or tagging data such as images, text, or videos to help train machine learning models. These roles typically require attention to detail and familiarity with labeling tools, and may be performed remotely or in a controlled environment.

How much are data labelers paid?

Data labelers typically earn between $10 and $20 per hour, depending on experience, location, and the complexity of the labeling tasks. Some positions may offer freelance or project-based pay, with rates varying accordingly.

Is data labeling hard?

Data labeling can be challenging depending on the complexity of the data and the accuracy required. It often involves attention to detail, understanding of the data context, and sometimes the use of labeling tools or software. The difficulty varies based on the project and the level of expertise needed.

Is data labelling a good career?

Data labeling is a foundational role in machine learning and AI development, involving annotating data to improve model accuracy. It often requires attention to detail, basic technical skills, and can offer flexible schedules, but typically has lower entry barriers and pay compared to more advanced tech roles.
What are the most commonly searched types of Data Labeling jobs in California? The most popular types of Data Labeling jobs in California are:
What are popular job titles related to Data Labeling jobs in California? For Data Labeling jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Labeling jobs in California look for? The top searched job categories for Data Labeling jobs in California are:
What cities in California are hiring for Data Labeling jobs? Cities in California with the most Data Labeling job openings:
Data Labeling jobs near you
Infographic showing various Data Labeling job openings in California as of June 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $49,922 per year, or $24 per hour.
Data Labeling Associate

Data Labeling Associate

Welocalize

Burlingame, CA

$34/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago

Welocalize rating

5.9

Company rating: 5.9 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

335th of 428 rated business services

Job description

What if your language expertise could help improve the speech and voice AI systems used by millions of people worldwide?
WHAT YOU’LL DO
• Execute Data labelling and annotation tasks across speech and voice datasets.
• Work with audio and language data, including transcription, categorization, and tagging.
YOU ARE A FIT IF YOU’RE…
• A English with Dialect from (Australian, United Kingdom and Canadian) speaker with strong written communication skills
• 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, NYC, or client-dependent locations)
• Employment Type: W2 Full-Time Employee
• Hours: 40 hours per week
• Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship available)
• Eligible Locations: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, and Boston
BENEFITS
• $34 per hour
• Paid Vacation (6 days)
• Paid Company Holidays
• Paid Sick Leave
• Employee Assistance Program
• Health Savings Account (HSA)
• 401(k) Retirement Plan
• Additional Voluntary Benefits (Life, Accident, Critical Illness, etc.)
ADDITIONAL BENEFITS (Upon Eligibility)
• Medical, Dental, and Vision Insurance
• Free Breakfast, Lunch, and Dinner (where applicable)
• Stocked Micro-Kitchens with Snacks and Beverages
• Commuter Benefits, Including Shuttles and Bike-to-Work Options
• Unique Campus Amenities Depending on Location

Company Description

Welocalize enables brands to reach and grow global audiences through services and solutions for translation, localization, adaptation, and automation. We offer multilingual solutions to transform all content types for local audiences, at every step of our clients’ global business journey. We have 1,500 global team members across offices in North America, Europe and Asia dedicated to helping some of the world’s largest brands operate and succeed internationally.

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