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Data Tagging Jobs (NOW HIRING)

Novul Solutions

Data Analyst

Arlington, VA · On-site

The ideal candidate will have strong experience with data tagging, data governance, data classification, data lifecycle management, and data security controls. Experience supporting DoW and/or DoW ...

Novul Solutions

Data Analyst

Arlington, VA

$100K - $135K/yr

The ideal candidate will have strong experience with data tagging, data governance, data classification, data lifecycle management, and data security controls. Experience supporting DoW and/or DoW ...

Novul Solutions

Data Architect - TS/SCI

Arlington, VA · On-site

$135K - $160K/yr

This role focuses heavily on data tagging, labeling, governance, lifecycle management, and compliance across the DoW SAP enterprise. The ideal candidate will have strong experience designing and ...

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Novul Solutions

Data Architect - TS/SCI

Arlington, VA · On-site

$73.50 - $94.50/hr

This role focuses heavily on data tagging, labeling, governance, lifecycle management, and compliance across the DoW SAP enterprise. The ideal candidate will have strong experience designing and ...

Booz Allen Hamilton, Inc.

Data Architect

Warner Robins, GA · On-site

$86K - $198K/yr

You'll use your extensive technical expertise to design data architecture solutions for data architecture and modeling, data conditioning, data tagging, discovery, and cross-domain availability. You ...

Booz Allen Hamilton, Inc.

Data Architect

Warner Robins, GA · On-site

$86K - $198K/yr

You'll use your extensive technical expertise to design data architecture solutions for data architecture and modeling, data conditioning, data tagging, discovery, and cross-domain availability. You ...

Booz Allen Hamilton

Data Architect

Warner Robins, GA · On-site

$86K - $198K/yr

You'll use your extensive technical expertise to design data architecture solutions for data architecture and modeling, data conditioning, data tagging, discovery, and cross-domain availability.You ...

Royal & Ross

Data Steward

Houston, TX · On-site

Continually curate our data catalogue including performing validation of metadata, data tagging and inactivation of obsolete data * Work directly with business stakeholders to develop data naming ...

Royal & Ross

Data Steward

Houston, TX · On-site

Continually curate our data catalogue including performing validation of metadata, data tagging and inactivation of obsolete data * Work directly with business stakeholders to develop data naming ...

PLANIT Group

Data Governance Analyst

Richmond, VA · On-site

Intermediate skill using data governance tools such as Microsoft Purview (preferred) or Informatica EDC for data tagging, classification, and stewardship workflows. * Intermediate skills with ...

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All JobsData Tagging Jobs

Data Tagging information

See salary details

$55K

$99.2K

$135.5K

How much do data tagging jobs pay per year?

As of Jul 7, 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 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.

How to make $1000 a week remote?

Data tagging jobs can offer remote work opportunities that, with consistent effort and high-volume tasks, potentially generate around $1000 weekly. Success depends on the number of tasks completed, accuracy, and the pay rate per task, which varies by platform and employer. Building skills in data annotation tools and maintaining quality standards can improve earning potential.

What is a data tagging job?

A data tagging job involves labeling or annotating data such as images, videos, text, or audio to help machine learning models understand and process information. Workers typically use specialized tools to add tags, which can include identifying objects, categorizing content, or transcribing data, often working remotely with flexible schedules.

Is data labelling a good career?

Data tagging is a common entry-level role in data annotation and machine learning workflows, often requiring attention to detail and familiarity with labeling tools. It can offer steady work and opportunities to develop skills in data management and AI, but typically has limited advancement without additional training or experience. Overall, it can be a suitable starting point for those interested in data-related fields.

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 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.

Do data entry jobs really pay?

Data entry jobs typically pay hourly wages that can range from minimum wage to higher rates depending on experience and complexity of tasks. Many positions offer part-time or flexible schedules, and pay can vary based on the employer, location, and required skills such as typing speed and accuracy.
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Data Tagging jobs near you

Data Analyst

Novul Solutions

Arlington, VA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago

Job description


Overview
We are seeking an experienced Data Analyst to support enterprise-wide data governance, classification, tagging, and data protection initiatives within a secure Department of War environment. This role will focus on establishing data classification and categorization standards, supporting data tagging and labeling efforts, and ensuring sensitive mission data is properly protected based on sensitivity, mission-criticality, and regulatory requirements.
The ideal candidate will have strong experience with data tagging, data governance, data classification, data lifecycle management, and data security controls. Experience supporting DoW and/or DoW SAP environments is highly preferred.
Key Responsibilities:
  • Establish and maintain a data classification and categorization system to ensure data is appropriately protected based on sensitivity, mission-criticality, and regulatory requirements.
  • Manage the coordination and deployment of data tagging and labeling mechanisms across the DoW SAP enterprise.
  • Ensure compliance with DoW policies on data classification and information security, including DoDI 5200.01 and related guidance.
  • Define clear data governance policies, including roles and responsibilities for data ownership, stewardship, and custodianship.
  • Design and support a data governance framework that outlines roles, responsibilities, processes, and policies for managing data across the DoW enterprise.
  • Develop and implement a robust data management framework to ensure the integrity, accessibility, security, and compliance of data throughout its lifecycle.
  • Implement data security controls and privacy protections to safeguard sensitive DoW data from unauthorized access, breaches, misuse, or improper disclosure.
  • Evaluate, propose, and support integration of data governance tools and technologies.
  • Develop and standardize processes for collecting, organizing, classifying, and integrating data from various sources across the DoW enterprise.
  • Create detailed implementation plans for deploying data masking solutions across relevant systems, applications, and datasets.
  • Support enterprise data protection efforts by helping ensure sensitive data is properly identified, labeled, tracked, and controlled.

Requirements
Required Qualifications:
  • Bachelor's Degree with 10+ years of relevant experience; or High School Diploma with 14+ years of relevant experience.
  • Proven expertise in data tagging, data labeling, data classification, and data categorization.
  • Experience supporting data governance, data management, or data protection initiatives in a secure enterprise environment.
  • Knowledge of data ownership, stewardship, custodianship, and lifecycle management concepts.
  • Experience developing or supporting policies, processes, and frameworks related to data governance and data security.
  • Understanding of data security controls, privacy protections, access controls, and sensitive data handling requirements.
  • Ability to coordinate across technical teams, business stakeholders, data owners, and security personnel.
  • Strong written and verbal communication skills with the ability to document processes, plans, and governance standards.

Ability to work 100% onsite in Rosslyn, VA.
Preferred Qualifications:
  • Experience supporting DoW and/or DoW SAP environments.
  • Familiarity with DoDI 5200.01 or other DoW information security classification requirements.
  • Experience with data governance tools, data cataloging platforms, metadata management tools, or data masking technologies.
  • Experience supporting enterprise data tagging, labeling, or classification implementation efforts.
  • Prior experience working in classified, SAP, or mission-critical federal environments.

Benefits
Core Benefits:
  • Paid Time OffPTO):TEN (10) Paid days off & FIVE (5) Floating days off.
  • Holidays: 11 Paid Holidays. Flex time can be utilized instead of holiday time usage.
  • Payroll: Paid Bi-Monthly.
  • 401(k): Partnered with the SECOND LARGEST Retirement plan provider in the U.S. Guaranteed 3% match. Eligibility - 21 years of age or older, after 3 months of employment
  • Individual or company-wide performance and recognition awards (Quarterly

Health Benefits:
  • UNITED HEALTHCARE PPO, extensive national coverage.
  • INCLUDES: Medical/Dental/Vision/HSA.
  • Eligible on the first of the month, immediately after the start date.
  • Submit the enrollment form within 30 days of your start date otherwise, you will have to wait until October for the new year enrollment.

Quality of Life Benefits:
  • Training & Career Development Reimbursement of Tuition and training needed to support career development.
  • $150 monthly reimbursement contribution paid monthly towards parking expenses.
  • Receipts must be submitted by the close of business on the 25th of each month.
  • Reimbursements will be paid on the first payroll AFTER reimbursements are submitted each month.

Special Benefits:
  • Performance bonus - Project-based
  • Yearly bonus - Company based

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