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Data Labeler Jobs (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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Data Labeler information

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How much do data labeler jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for data labeler in the United States is $13.97, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $15.38 per hour, depending on experience, location, and employer.

What is a data labeler job?

A data labeler is responsible for reviewing and annotating data such as images, videos, or text to help train machine learning models. The job typically involves using specialized tools and requires attention to detail and accuracy. Data labelers often work remotely and may need basic computer skills and understanding of data privacy.

What is a Data Labeler job?

A Data Labeler is responsible for annotating and categorizing data, such as images, text, audio, or video, to train machine learning models. This involves tasks like adding tags, marking objects, or verifying data accuracy based on specific guidelines. Their work is essential for improving AI models in areas like speech recognition, computer vision, and natural language processing. Attention to detail and accuracy are crucial in this role.

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. Many positions are remote and may offer flexible schedules, with some roles paying per project or task rather than hourly.

What does a typical day look like for a Data Labeler and how do team interactions work?

As a Data Labeler, your day typically involves reviewing, categorizing, and annotating large volumes of data such as images, text, or audio according to set guidelines. You’ll often work independently but may participate in regular team check-ins to discuss project updates, clarify instructions, or resolve ambiguous cases. Collaboration with data scientists or project managers is common when feedback or clarification is needed, ensuring consistency and quality across the labeled dataset. Over time, high-performing data labelers may transition into roles such as quality assurance reviewer or team lead. The work is detail-oriented and repetitive but is essential in powering reliable artificial intelligence and machine learning applications.

How much does Tesla pay data labelers?

Tesla data labelers typically earn between $15 and $25 per hour, depending on experience and location. The role involves annotating data for autonomous vehicle training and may require familiarity with labeling tools and attention to detail.

How to become a data labeler?

To become a data labeler, you typically need a high school diploma or equivalent and basic computer skills. Training is often provided by employers, and familiarity with data annotation tools or software can be helpful. Strong attention to detail and the ability to follow instructions are important for success in this role.

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

To thrive as a Data Labeler, you need strong attention to detail, proficiency in data entry, and a basic understanding of computer operations, often supported by a high school diploma or equivalent. Experience with annotation platforms, labeling tools, or specific data management software is valuable and may be required for some roles. Effective time management, patience, and the ability to follow detailed instructions are standout soft skills in this position. These skills ensure the accurate and efficient preparation of high-quality datasets, which are crucial for training reliable machine learning models.

More about Data Labeler jobs
What cities are hiring for Data Labeler jobs? Cities with the most Data Labeler job openings:
What are the most commonly searched types of Data Labeler jobs? The most popular types of Data Labeler jobs are:
What states have the most Data Labeler jobs? States with the most job openings for Data Labeler jobs include:
Data Labeling Associate

Data Labeling Associate

Welocalize

Seattle, WA • On-site

$34/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

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


Welocalize rating

5.9

Company rating: 5.9 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

345th of 437 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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