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Data Tagging Jobs (NOW HIRING)

... MFA, data tagging, or comply to connection (C2C) • Knowledge of leading ICAM solutions, including Ping, AD, or LDAP, and how they are part of the ZT ecosystem Qualifications : Required : • 3+ ...

Data Ops Lead

New York, NY · On-site +1

$150K - $190K/yr

Experience building and managing overseas or outsourced teams for data tagging, annotation, and QA, with a track record of maintaining quality and throughput across time zones. * Deep ownership of ...

Experience defining and applying data tagging and handling requirements * Experience analyzing and defining data schemas and data processing requirements * Experience assisting with authoring and ...

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 ...

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 ...

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 ...

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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 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.
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:
Platform Engineer

Platform Engineer

Booz Allen Hamilton

Fayetteville, NC • On-site

Full-time

Posted 25 days ago


Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

9th of 58 rated business consultants


Job description

Job Summary:
Booz Allen Hamilton is a company focused on mission-forward change, seeking a Platform Engineer to enhance client environments with cloud technologies and container software. The role involves supporting strategy and design while ensuring standards are met throughout the containerization process and recommending resources for secure container management.
Responsibilities:
• 3+ years of experience managing, configuring, deploying, and maintaining platforms and integration tools such as Kubernetes, Docker, Rancher, Helm, EKS, and Ceph
• Experience with containerization technologies, micro-service network architecture, and CI/CD tools, including GitLab
• Experience writing automation and provisioning scripts such as Ansible playbooks, Linux automation, Windows PowerShell, or basic API integrations
• Experience administering storage and networking environments and performing network and requirement analysis, system availability reviews, and risk assessments
• TS/SCI clearance
• HS diploma or GED
• Experience migrating applications in hybrid cloud, disconnected, or air-gapped environments
• Experience supporting enterprise air-gapped environments
• Experience with configuration management and Git-centric CI/CD workflows
• Experience with Infrastructure-as-Code environments and practices
• Knowledge of the ZT technology ecosystem, including ZTNA, IDP, DLP, EDR, XDR, MFA, data tagging, or comply to connection (C2C)
• Knowledge of leading ICAM solutions, including Ping, AD, or LDAP, and how they are part of the ZT ecosystem
Qualifications:
Required:
• 3+ years of experience managing, configuring, deploying, and maintaining platforms and integration tools such as Kubernetes, Docker, Rancher, Helm, EKS, and Ceph
• Experience with containerization technologies, micro-service network architecture, and CI/CD tools, including GitLab
• Experience writing automation and provisioning scripts such as Ansible playbooks, Linux automation, Windows PowerShell, or basic API integrations
• Experience administering storage and networking environments and performing network and requirement analysis, system availability reviews, and risk assessments
• TS/SCI clearance
• HS diploma or GED
Preferred:
• Experience migrating applications in hybrid cloud, disconnected, or air-gapped environments
• Experience supporting enterprise air-gapped environments
• Experience with configuration management and Git-centric CI/CD workflows
• Experience with Infrastructure-as-Code environments and practices
• Knowledge of the ZT technology ecosystem, including ZTNA, IDP, DLP, EDR, XDR, MFA, data tagging, or comply to connection (C2C)
• Knowledge of leading ICAM solutions, including Ping, AD, or LDAP, and how they are part of the ZT ecosystem
Company:
Booz Allen Hamilton is a consulting firm that specializes in analytics, technology, and engineering. Founded in 1914, the company is headquartered in Mclean, USA, with a team of 10001+ employees. The company is currently Late Stage.

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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914