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How much do data labeling analyst jobs pay per year?

As of Sep 8, 2026, the average yearly pay for data labeling analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is a data labeling analyst?

A Data Labeling Analyst is responsible for annotating, categorizing, and labeling data to help train machine learning models. They work with text, images, audio, or video data, ensuring accuracy and consistency according to predefined guidelines. This role requires attention to detail, a strong understanding of data patterns, and sometimes domain-specific knowledge to improve AI performance. Analysts often collaborate with data scientists and engineers to refine labeling strategies and enhance model training.

What are the key skills and qualifications needed to thrive as a data labeling analyst?

A Data Labeling Analyst requires strong attention to detail, excellent analytical abilities, and familiarity with data annotation and labeling processes, often supported by a bachelor's degree in a relevant field. Experience with annotation tools, basic knowledge of programming (such as Python), and familiarity with data management platforms are commonly sought after. Strong communication, time management, and the ability to work independently or as part of a distributed team are valuable soft skills. These skills ensure data accuracy and efficiency, which are critical for training reliable AI and machine learning models.

What are some common challenges faced by data labeling analysts, and how can they be addressed?

One common challenge for Data Labeling Analysts is maintaining consistency and accuracy when labeling large volumes of complex data, as even minor errors can impact model performance. Frequent communication with project managers and data scientists can help clarify labeling guidelines and ensure alignment with project goals. Utilizing quality assurance processes, such as cross-checking work and leveraging feedback, also supports higher accuracy. Being adaptable and open to feedback helps analysts continuously improve and meet evolving project standards.

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Data Labeling Analyst jobs near you
Infographic showing various Data Labeling Analyst job openings in the United States as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 69% In-person, 6% Hybrid, and 25% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Project Perseus | Speech & Voice AI Analyst - Portuguese (Portugal) Speakers

Welocalize

Chicago, IL • On-site

Full-time

Re-posted 10 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

Job Summary:
Welo Data is a company that specializes in multilingual content transformation services, and they are seeking a Data Labeling Analyst to support their speech and voice AI systems. The role involves executing high-volume data labeling and annotation tasks to ensure the accuracy and consistency of datasets used for AI training.
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 Portuguese (Portugal)
• 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:
Welocalize provides translation supply chain management solutions that deliver market-ready, translated content. Founded in 1997, the company is headquartered in Frederick, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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