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Data Labeler Jobs (NOW HIRING)

The Opportunity As Data Labeling Lead , you'll play a key role in leading and managing our in-house data labeling team to ensure the highest quality of training data for our models. You'll ...

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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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 ...

New

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 ...

New

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 ...

New

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 ...

New

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 ...

New

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 ...

New

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 ...

New

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Data Labeler information

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How much do data labeler jobs pay per hour?

As of Jun 10, 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 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.

What is the role of a data labeler?

A data labeler is responsible for annotating and categorizing data, such as images, text, or videos, to help machine learning models understand and learn from the data. This role often involves using specialized tools and requires attention to detail to ensure accurate labeling, which is essential for training effective AI systems.

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.

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:
Czech Data Labeling Analyst(Speech & Voice )

Czech Data Labeling Analyst(Speech & Voice )

Welo Data

Washington, DC • On-site

Full-time

Posted 2 days ago


Job description

Job Summary:
Welo Data is looking for detail-oriented individuals to join their team as Data Labeling Analysts, supporting speech and voice AI systems. This role focuses on building datasets that power AI systems by working with audio, speech, and language data to ensure models are trained on accurate inputs.
Responsibilities:
• 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
Qualifications:
Required:
• 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
Preferred:
• Basic familiarity with AI, speech technology, or language data is a plus
Company:
With 27+ years of experience, Welo Data is the human-centered infrastructure for globally effective AI. Founded in , the company is headquartered in , , with a team of 1001-5000 employees. The company is currently Late Stage.

Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.