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Data Labeling Specialist information

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$39K

$69.8K

$89.5K

How much do data labeling specialist jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data labeling specialist in the United States is $69,760.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,000.00 and $69,000.00 per year, depending on experience, location, and employer.

What is a data labeling specialist?

Data Labeling Specialists are professionals who annotate, categorize, and tag data—such as images, text, audio, or video—to make it usable for machine learning and artificial intelligence models. Their work ensures that algorithms have high-quality, accurately labeled datasets to learn from, which is essential for training and improving AI systems. Data Labeling Specialists often use specialized software tools and follow detailed guidelines to maintain consistency and accuracy. This role is critical in industries like autonomous vehicles, healthcare, natural language processing, and more.

What are some common challenges data labeling specialists face when working on large-scale machine learning projects?

Data Labeling Specialists often encounter challenges such as maintaining consistency and accuracy across vast datasets, especially when multiple annotators are involved. Ambiguous or subjective labeling criteria can lead to discrepancies, so clear guidelines and regular quality checks are essential. Additionally, balancing speed with precision is crucial, as labeling errors can negatively impact the performance of machine learning models. Collaboration with data scientists and project managers is common to clarify requirements and resolve ambiguities.

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

To succeed as a Data Labeling Specialist, you need strong attention to detail, accuracy, and a basic understanding of data annotation concepts, often supported by a high school diploma or relevant coursework. Familiarity with data labeling platforms, annotation tools, and sometimes basic programming languages like Python is typically required. Diligence, consistency, and effective communication help you manage repetitive tasks and clarify ambiguous data points. These skills ensure the production of high-quality labeled data, which is critical for training reliable machine learning models.

What is the difference between Data Labeling Specialist vs Data Annotator?

AspectData Labeling SpecialistData Annotator
CredentialsHigh school diploma or equivalent; some roles prefer certifications in data managementHigh school diploma or equivalent; minimal certifications needed
Work EnvironmentRemote or on-site, often in tech or AI companiesPrimarily remote, working with datasets for AI/ML models
Industry UsageUsed in AI, machine learning, and data science projectsCommonly used in AI training data preparation
Job FocusLabeling data accurately for AI modelsAnnotating data to train machine learning algorithms

Both roles involve preparing data for AI and machine learning, but Data Labeling Specialists often have a broader scope, including quality control and project management, while Data Annotators focus mainly on data tagging and annotation tasks.

More about Data Labeling Specialist jobs
What states have the most Data Labeling Specialist jobs? States with the most job openings for Data Labeling Specialist jobs include:
What job categories do people searching Data Labeling Specialist jobs look for? The top searched job categories for Data Labeling Specialist jobs are:
Data Labeling Specialist jobs near you
Infographic showing various Data Labeling Specialist job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, 17% Part Time, 8% Temporary, and 25% Contract. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $69,760 per year, or $33.5 per hour.

Document Control Analyst/ Labeling Specialist

Indotronix International Corporation

Carlsbad, CA • On-site

$25 - $32/hr

Contractor

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

Job description

Document Control Analyst/ Labeling Specialist | Carlsbad, California, United States
Location: Carlsbad, CA 92008
Duration: 6 Months - Contract
Pay Rate: $32.00/ hr W2
Shift: M-F 8-5
Position Summary:
  • Labeling Specialist to be part of a team responsible for the optimization of the product labeling processes and systems including data accuracy, template standardization, and compliance to the quality management system and regulatory standards.
  • The position supports the investigation of label data discrepancies and facilitates label document updates to ensure compliance to all applicable standards.
  • This position also requires a person who is detail-oriented, has the ability to manage multiple priorities, has exceptional organizational skills and is a self-starter with minimal supervision.
  • Accustomed to working well under pressure and possess excellent problem-solving and communication skills

Major Responsibilities:
  • Ensures labeling compliance with quality management system (QMS), regulatory requirements and guidelines, standard operating procedures, and work instructions.
  • Provide direct support for ongoing updates, including hazard communication, regulatory compliance projects, and other specialized projects
  • Initiates change orders for new and revised labels using the Electronic Documentation Management System and label change control software.
  • Identifies issues with label template design to promote standardization and optimization of the process.

Experience:
  • Entry Level role, prefer if they have experience
  • Need someone with ability to learn fast.
  • Needs to have problem solving experience
  • Proficient in the use of Microsoft Office Software (Word, Power Point, Excel, etc.)
  • Excel needs to be Moderate (pivot tables, vlookup, summaries, relationships, etc.)
  • Aptitude for learning new technical software, such as quality management system
  • Works independently on new and on-going assignments
  • Is energized working in a fast-paced environment
  • Detail oriented, consistent, dependable and accurate in carrying out responsibilities
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About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US

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