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Data Tagging Jobs (NOW HIRING)

RiVidium, Inc

Data Engineer

Quantico, VA · On-site

$121K - $145K/yr

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

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 ...

Synergy ECP LLC

Systems Engineer

Columbia, MD

Data tagging, data formats, data sanitization, data sharing rules/criteria, general dataflow knowledge and troubleshooting. * Provide support to manage the progress of dataflow requests. This ...

SW Complete

Systems Engineer

Columbia, MD · On-site

Data tagging, data formats, data sanitization, data sharing rules/criteria, general dataflow knowledge and troubleshooting. * Provide support to manage the progress of dataflow requests. This ...

Technomics Inc

Cyber Risk Analyst SME

Arlington, VA · On-site

Implement data tagging and structured knowledge capture to enable proactive risk identification, trend analysis, and lessons-learned reuse. * Build analytic processes that leverage historical ...

Riskified

Data Integrations Engineer

New York, NY · On-site

$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 ...

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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 Aug 9, 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 does a data tagger do?

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 skills and qualifications are needed for data tagging?

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 is data tagging?

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.

More about Data Tagging jobs
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:
What job categories do people searching Data Tagging jobs look for? The top searched job categories for Data Tagging jobs are:
Data Tagging jobs near you
Infographic showing various Data Tagging job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $99,231 per year, or $47.7 per hour.

Software Engineer Level 1

IntelliGenesis

Annapolis Junction, MD • On-site

Full-time

Medical, Life, Retirement, PTO

Re-posted 14 days ago

Job description

Job Duties:

  • 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.

Required Skills:

  • US Citizens Only
  • TS/SCI with Polygraph required
  • Bachelor's degree plus two (2) years of relevant experience or Master's degree and no experience. An Associate's degree plus four (4) years of relevant experience or high school diploma/GED plus six (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
  • 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.

Desired Skills:

  • Experience with front end development technologies such as Node.js and Neo4j
  • Experience with Maven and Git
  • Experience with Apache NiFi
  • Ability to work in a team environment.

Compensation Range: $76,000 - $184,000

_____________________________________________________________________________________________________

Compensation ranges encompass a total compensation package and are a general guideline only and not intended as a guaranteed and/or implied final compensation or salary for this job opening. Determination of official compensation or salary relies on several different factors including, but not limited to: level of position, complexity of job responsibilities, geographic location, candidate’s scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements and alignment with local market data.

Our compensation includes other indirect financial components designed to support employees’ total well-being, which should be considered when evaluating our competitive benefits package. These monetary benefits include medical insurance, life insurance, disability, paid time off, maternity/paternity leave, 401(k) company match, training/education reimbursements and other work/life programs.

_____________________________________________________________________________________________________

IntelliGenesis is committed to providing equal opportunity to all employees and applicants for employment. The Company is an Equal Opportunity Employer (EOE), and as such, does not tolerate discrimination, retaliation, or harassment of its employees or applicants based upon race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or any other protected characteristic under local, state, or federal law in any employment practice. Such employment practices include, but are not limited to: hiring, promotion, demotion, transfer, recruitment, or recruitment advertising, selection, disciplinary action layoff, termination, rates of pay, or other forms of compensation and selection of training.

IntelliGenesis is committed to the fair and equal employment of individuals with disabilities. It is the Company’s policy to reasonably accommodate qualified individuals with disabilities unless the accommodation would impose an undue hardship on the organization. In accordance with the Americans with Disabilities Act (ADA) as amended, reasonable accommodations will be provided to qualified individuals with disabilities, when such accommodations are necessary, to enable them to perform the essential functions of their jobs or to enjoy the equal benefits and privileges of employment. This policy applies to all applicants for employment and all employees.

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