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Data Tagging Analyst Jobs (NOW HIRING)

Riskified

$125K - $139K/yr

Maintain/manage merchant data configuration layer of Riskified's platform (automated data tagging, transformation, filtering, etc.) * Combine technical, business, and analytical objectives to come up ...

RIVIDIUM

Data Engineer

Quantico, VA

$123K - $148K/yr

Provide ad hoc data analysis and support self-service data access for stakeholders * Design and ... Support data tagging, metadata management, and enterprise data governance initiatives * Assist in ...

Rividium Inc

Data Engineer

Quantico, VA · On-site

$123K - $148K/yr

... learning models and analytics workflows • Develop and maintain APIs for data access and ... data tagging, metadata management, and enterprise data governance initiatives • Assist in ...

Butler/Till, Inc.

Digital Tagging Specialist

Rochester, NY · On-site +1

$45K - $62K/yr

Collaborating with internal Analysts, Media Activation Specialists, and external Web Development teams, they create tagging strategies, conduct audits, and contribute to data-driven decision-making.

Booz Allen Hamilton, Inc.

Data Engineer

Fayetteville, NC · On-site

$77K - $176K/yr

You'll collaborate with analysts, AI engineers, developers, and stakeholders in a fast-paced, agile ... Support data governance, metadata tagging, and access controls. * Partner with cross-functional ...

IntelliGenesis LLC

Software Engineer Level 1

Annapolis, MD · On-site

$76K - $184K/yr

Developing analytics to produce metrics based on data tagging efforts. * Develop prototypes, answering new questions, as well as providing better answers to existing questions. * Work directly with ...

Booz Allen Hamilton, Inc.

Data Engineer

Fayetteville, NC · On-site

$77K - $176K/yr

You'll collaborate with analysts, AI engineers, developers, and stakeholders in a fast-paced, agile ... Support data governance, metadata tagging, and access controls. * Partner with cross-functional ...

Booz Allen Hamilton

Data Engineer

Fayetteville, NC · On-site

$77K - $176K/yr

You'll collaborate with analysts, AI engineers, developers, and stakeholders in a fast-paced, agile ... Support data governance, metadata tagging, and access controls. * Partner with cross-functional ...

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All JobsData Tagging Analyst Jobs

Data Tagging Analyst information

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$34K

$82.6K

$136K

How much do data tagging analyst jobs pay per year?

As of Sep 14, 2026, the average yearly pay for data tagging 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 tagging analyst?

Data Tagging Analysts are professionals responsible for labeling and annotating data, such as images, videos, text, or audio, to make it understandable for machine learning algorithms. Their work is crucial for training artificial intelligence systems, as accurately tagged data helps improve the performance and accuracy of AI models. They often use specialized tools to categorize and tag data according to specific guidelines, ensuring consistency and quality. Data Tagging Analysts may work in various industries, including technology, healthcare, and finance, wherever large sets of labeled data are needed for AI applications.

What are the key skills and qualifications needed to thrive as a data tagging analyst, and why are they important?

To thrive as a Data Tagging Analyst, you need strong analytical skills, attention to detail, and a background in data management or related fields, often supported by a relevant degree or practical experience. Familiarity with data labeling platforms, annotation tools, and sometimes basic programming or SQL knowledge is typically required. Excellent communication, collaboration, and time management skills help ensure accuracy and efficiency when working with large datasets or cross-functional teams. These abilities are crucial for delivering high-quality, structured data that powers machine learning and AI initiatives.

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

Data Tagging Analysts often encounter challenges such as maintaining consistency when labeling large datasets and interpreting ambiguous data points. To address these issues, it’s important to follow clear annotation guidelines, regularly participate in team discussions to clarify labeling standards, and use quality control tools to catch errors. Collaborating closely with data scientists and project managers can also help resolve uncertainties and ensure the accuracy of tagged data. Staying organized and open to feedback allows analysts to continuously improve their efficiency and data quality.

What is the difference between Data Tagging Analyst vs Data Labeling Specialist?

AspectData Tagging AnalystData Labeling Specialist
Required CredentialsHigh school diploma or equivalent; some roles prefer certifications in data managementHigh school diploma; certifications in data annotation are a plus
Work EnvironmentOffice or remote; collaborative with data science teamsPrimarily remote; focused on data annotation tasks
Employer & Industry UsageTech companies, AI firms, data service providersAI companies, machine learning firms, data annotation services

The Data Tagging Analyst and Data Labeling Specialist roles are similar, focusing on preparing data for AI and machine learning. The main difference lies in the scope and sometimes in the level of responsibility, with Data Tagging Analysts often involved in more complex data management tasks, while Data Labeling Specialists focus on precise annotation work. Both roles are essential in the data preparation pipeline and are commonly found in tech and AI industries.

What cities are hiring for Data Tagging Analyst jobs?

Cities with the most Data Tagging Analyst job openings:

What states have the most Data Tagging Analyst jobs?

States with the most job openings for Data Tagging Analyst jobs include:

What are popular job titles related to Data Tagging Analyst jobs?

For Data Tagging Analyst jobs, the most frequently searched job titles are:

Infographic showing various Data Tagging Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Junior Software Engineer

Fort George G Meade, MD • On-site

Que Technology Group
IT Services • 1 - 10 employees
Learn more about Que Technology Groupexternal

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago

Job description

Que Technology Group, Inc., is seeking a motivated Jr. Software Developer to support the exciting Geolocation and Data Integration. Developer will work closely with mission stakeholders to create innovative applications, analytics, and deploy solutions to customer supported tools to automate and enable data and metadata analysis.

  • Mission Focus: Work in a variety of environments to develop analytics based on data from multiple cyber sources, as well as classic SIGINT via data tagging.
  • Technical Proficiency: Creatively leverage disparate data to fill knowledge gaps in user activities, collection efforts, and technology discovery.
  • Qualifications: Bachelor's degree plus 2-years of relevant experience or equivalent. Proficiency with object-oriented languages (JAVA and Python) and experience with PySpark, ETL, Pig, MapReduce, JSON, BSON, and Hadoop.
  • Desirable Skills: Knowledge of customer corporate tools, GM, and data repositories.

Que Technology Group, Inc., is seeking a motivated Jr. Software Developer to support the exciting Geolocation and Data Integration. Developer will work closely with mission stakeholders to create innovative applications, analytics, and deploy solutions to customer supported tools to automate and enable data and metadata analysis.

  • Mission Focus: Work in a variety of environments to develop analytics based on data from multiple cyber sources, as well as classic SIGINT via data tagging.
  • Technical Proficiency: Creatively leverage disparate data to fill knowledge gaps in user activities, collection efforts, and technology discovery.
  • Qualifications: Bachelor's degree plus 2-years of relevant experience or equivalent. Proficiency with object-oriented languages (JAVA and Python) and experience with PySpark, ETL, Pig, MapReduce, JSON, BSON, and Hadoop.
  • Desirable Skills: Knowledge of customer corporate tools, GM, and data repositories.
Security Clearance:
  • Active TS/SCI with Polygraph required
BENEFITS:
  • Competitive salary
  • Company Medical/Dental/Vision plans – Company paid
  • Short-term Disability, Long-term disability and Life Insurance – Company paid
  • Business/ First Class travel upgrade for 7 hour or longer flights & company card will be provided for expenses
  • Vacation / Personal days granted at 25 days per year
  • Paid Federal Holidays – 11 days
  • $5,000 Annual Professional Development Fund plus 40 paid hours if in class
  • 401K with 6% company match; all contributions are immediately vested by Employee
  • Employee will be paid a bonus of $10,000 per employee hired based on their referral
  • Up to 3 paid Code Red days due to customer closure

Que Technology Group, Inc., is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.

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