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Data Tagging Jobs (NOW HIRING)

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 the ...

Data Engineer

Quantico, VA

$123.40K - $148.20K/yr

Support data tagging, metadata management, and enterprise data governance initiatives * Assist in developing data-related policies, documentation, and system requirements * Research and recommend ...

Support data governance, metadata tagging, and access controls. * Partner with cross-functional teams to deliver end-to-end data solutions. * Provide technical guidance in a complex enterprise ...

Support data governance, met adata tagging, and access controls. * Partner with cross-functional teams to deliver end-to-end data solutions. * Provide technical guidance in a complex enterprise ...

Data Engineer

Fayetteville, NC · On-site

$77.50K - $176K/yr

Support data governance, metadata tagging, and access controls. * Partner with cross-functional teams to deliver end-to-end data solutions. * Provide technical guidance in a complex enterprise ...

Data Engineer

Fayetteville, NC · On-site

$77.50K - $176K/yr

Support data governance, metadata tagging, and access controls. * Partner with cross-functional teams to deliver end-to-end data solutions. * Provide technical guidance in a complex enterprise ...

Data Engineer

Quantico, VA · On-site

$121.30K - $145.60K/yr

Support data tagging, metadata management, and enterprise data governance initiatives * Assist in developing data-related policies, documentation, and system requirements * Research and recommend ...

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Data Tagging information

See salary details

$55K

$99.2K

$135.5K

How much do data tagging jobs pay per year?

As of May 31, 2026, the average yearly pay for data tagging in the United States is $99,231.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,000.00 and $108,500.00 per year, depending on experience, location, and employer.

What is a Data Tagging job?

A Data Tagging job involves labeling or annotating data, such as text, images, audio, or video, to help machine learning models understand patterns and make accurate predictions. Taggers assign relevant metadata, categories, or identifiers to raw data based on predefined guidelines. This process is essential for training AI systems in tasks like image recognition, natural language processing, and content moderation. Attention to detail and consistency are critical in ensuring high-quality, accurate datasets for AI models.

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

To excel in a Data Tagging role, attention to detail, consistency, and a basic understanding of data categorization or annotation are essential, often supported by a high school diploma or equivalent. Familiarity with specialized annotation software or data labeling platforms, as well as basic computer literacy, is typically required. Strong time management, communication skills, and the ability to follow detailed instructions help candidates stand out. These abilities ensure that tagged data is accurate, reliable, and ready for use in training machine learning models or improving data-driven processes.

What does a typical day look like for someone working in Data Tagging?

A typical day for a Data Tagging professional involves reviewing large volumes of data—such as images, video clips, audio, or text—and applying specific labels or annotations according to detailed project guidelines. You’ll likely work with specialized software platforms and may be part of a collaborative team that regularly coordinates to ensure consistency and accuracy. Frequent communication with project managers or data scientists is common to clarify criteria or resolve ambiguities. While the work can be repetitive, it is crucial for the development of AI and machine learning applications, and there are often opportunities to progress into quality assurance, project coordination, or more technical data roles over time.
What cities are hiring for Data Tagging jobs? Cities with the most Data Tagging job openings:
What are the most commonly searched types of Data Tagging jobs? The most popular types of Data Tagging jobs are:
What states have the most Data Tagging jobs? States with the most job openings for Data Tagging jobs include:
Infographic showing various Data Tagging job openings in the United States as of May 2026, with employment types broken down into 71% Full Time, and 29% Part Time. Highlights an 97% Physical, and 3% Hybrid job distribution, with an average salary of $99,231 per year, or $47.7 per hour.
Junior Software Engineer

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago


Job description

Job Posting: Junior Software Engineer

Your Main Objective:
Work in a variety of environments to develop analytics based on data from multiple cyber sources, as well as classic SIGINT via data tagging.
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 the customer in a highly collaborative, integrated fast-paced environment using leading technologies.
Developing analytics using Java in a Linux environment.
Performing extraction, transforming, and loading of data

What Sets You Apart:
Bachelor's degree plus 2-years of relevant experience or Master’s degree and no experience. An Associate’s degree plus 4-years of relevant experience or high school diploma/GED plus 6-years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position
Computer Science (CS) degree or related field
TS/SCI clearance with polygraph
Software development/engineering experience including requirements analysis, installation, integration, evaluation, enhancement, maintenance, testing, and problem diagnosis/resolution.
Experience with Java Pig/MapReduce & Python
Experience with distributed scalable Big Data Store (NoSQL) such as H Base, CloudBase/Accumulo, Big Table, etc.
Experience with the Hadoop Distributed File System (HDFS); and technologies such as Hadoop, Hive, Pig, etc.
Experience with Serialization such as JSON and or BSON; developing restful services; and using source code management tools.
Experience with analytic development in a Linux environment.

You Might Also Have:
Experience with front end development technologies such as Node.js and Neo4j
Experience with Maven and Git
Experience with Apachi NiFi
Ability to work in a team environment.
InterImage Benefits Snapshot:

  • 401K - 7% contribution with 3% profit sharing; 1-year cliff vesting schedule
  • Paid Time Off: 4 weeks
  • Paid Holiday Leave: 11 days (88 Hours)
  • Life Insurance: $50,000; 100% of premium
  • Short-term/Long-term Insurance: 100% premium
  • Healthcare: 2 CareFirst Administrator plans offered, $0 Employee only option, Metlife for Vision, and The Standard for Dental.