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Data Tagging Jobs (NOW HIRING)

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 ...

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 ...

Senior Data Engineer

Excelsior, MN

$118.50K - $161K/yr

Proficiency implementing machine learning models, especially data tagging and labeling. * Experience working with cloud infrastructure services with Microsoft Azure is preferred but not required.

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

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

Head of Data & AI

Oakland, CA · Hybrid

$200K - $230K/yr

Drive AI-first data strategy - enable machine learning and generative AI capabilities through structured data tagging, metadata management, and model-ready pipelines. * Partner with business and ...

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Data Tagging information

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$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.
Systems Engineer

Other

Posted 10 days ago


Job description

Description

Founded in 2007 and headquartered in Columbia, Maryland, Synergy ECP is a leading provider of cybersecurity, software and systems engineering and IT services to the U.S. intelligence and defense communities. The company leverages its expertise in data transport solutions, software and systems engineering, and other solutions to deliver critical and innovative capabilities to high-level decision makers that enhance our nation's security.

In an ultra-competitive environment, Synergy ECP has thrived by adhering to our name, making sure excellence is displayed by our Employees, to our Customers and by Improving Performance (ECP).

It's what sets us apart, enabling us to be an autonomous yet agile business that delivers huge results - showing we're ready to meet our customers' evolving demands.

Synergy ECP has earned a client list that includes numerous Fortune 100 companies, in addition to multiple branches of the US government and military services.

Synergy ECP is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected class.

Clearance Required: TS/SCI w/ Polygraph


Job Description:   This is a full-time position requiring 1880 hours of support per year; and work is performed at the customer site.  As a SETA contractor supporting the DFRS engineering team, you will support customer service, dataflow paths, organize dataflow implementation, identify ways to improve dataflow implementation and modernization efforts, and prioritize the customer's needs based on larger strategic priorities.

Responsibilities include:

  • Identify and establish new processes and procedures      (modernization efforts, process improvement...) and have good customer      service skills.
  • 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 includes customer and service provider      support/interaction and learning the customer need and how it fits into      the larger picture.
  • Measure and monitor metrics, identify trends, document      deficient resourcing, and report standings and findings to management and      other stakeholders.
  • Provide support to technical leaders by coordinating      activities pertaining to the development, documentation and maintenance      associated with changes to the system.

Research and document dataflow processes according to standards of compliance in support of the Enterprise Data Header (EDH) initiatives.  Support will include research, analysis, documentation, and integration of how data can be identified, protected, tracked, and handled throughout its life cycle. 


Clearance Required: TS/SCI 

Other Requirements: U.S. Citizenship


Founded in 2007 and headquartered in Columbia, Maryland, Synergy ECP is a leading provider of cybersecurity, software and systems engineering and IT services to the U.S. intelligence and defense communities. The company leverages its expertise in data transport solutions, software and systems engineering, and other solutions to deliver critical and innovative capabilities to high-level decision makers that enhance our nation's security.

Synergy ECP has earned a client list that includes numerous Fortune 100 companies, in addition to multiple US government agencies and US military services.

Synergy ECP possesses pertinent and highly valued credentials, specialized certifications, and clearance levels to secure our clients' computer networks and information at a time when a premium is placed on cyber security.

In an ultra-competitive environment, Synergy ECP has thrived by adhering to its name - ensuring excellence is displayed by its Employees, to its Customers, and by Improving Performance (ECP).

We simply can't have one without the other.

It's what sets us apart - enabling us to be an autonomous, yet small, agile business that delivers huge results to meet the ever-evolving demands of our customers.

Requirements

Individual Capabilities/Experience Required:

  • A Bachelor's degree in Computer Science, Electrical      Engineering, Systems Engineering, or a related discipline and at least 2      years of systems engineering experience.  A Master's or PhD Degree      may be substituted for the two years of experience.  Note: A High      School Diploma or GED plus 6 years of systems engineering experience would      also be acceptable.
  • Excellent oral and written communications skills.
  • Position requires TS/SCI clearance with polygraph

Individual Capabilities/Experience Desired:

  • Experience in the Data tagging, data formats, data      sanitization, data sharing rules/criteria, general dataflow knowledge
  • Ability to work constructively and successfully with      diverse stakeholders to resolve mission and technical issues is critical
  • A self-starter, have a high level of attention to      detail, and possess excellent oral and written communication skills