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Data Tagging Jobs (NOW HIRING)

Digital Tagging Analyst

Harrisburg, PA · On-site

$97K - $115K/yr

The Digital Tagging Specialist plays a key role in ensuring accurate and reliable data collection across PSECU's digital platforms. This position focuses on implementing and maintaining tagging ...

Data Ops Lead

Manhattan, NY · On-site

$100 - $140/hr

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 ...

Data Ops Lead

New York, NY · On-site +1

$160K - $220K/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 ...

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 ...

Digital Tagging Analyst

Harrisburg, PA · Hybrid

$97K - $115K/yr

The Digital Tagging Specialist plays a key role in ensuring accurate and reliable data collection across PSECU's digital platforms. This position focuses on implementing and maintaining tagging ...

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 ...

$99 - $225/hr

On our team, you'll be able to broaden your skill set into areas like cross-domain technologies and concepts, data handling and tagging, data schema development, and validation. You will integrate ...

Showing results 41-60

Data Tagging information

See salary details

$55K

$99.2K

$135.5K

How much do data tagging jobs pay per year?

As of Sep 6, 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 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.

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.

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:

Infographic showing various Data Tagging job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 71% In-person, and 29% Remote job distribution, with an average salary of $99,231 per year, or $47.7 per hour.

Principal Data Operations Lead / CASPIAN JCRS-D Subject Matter Expert (SME)

Peraton

Fort George G Meade, MD • On-site

$146 - $234/hr

Other

Re-posted yesterday


Peraton rating

8.3

Company rating: 8.3 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

52nd of 226 rated it services


Job description

Responsibilities

Peraton seeks a Principal Data Operations Lead / CASPIAN JCRS-D Subject Matter Expert (SME)to support Department of War Cyber Defense Command (DCDC) with Defensive Cyberspace Operations (DCO) and AI Cyber Security Support.

Location: Fort Meade, MD.

In this role, you will perform advanced statistical analysis, develop ML models, and conduct operational research to support cyber defense decision-making and threat characterization.

Primary Responsibilities:

  • Perform as technical authority for Data Acquisition, Standards, and Governance, ensuring all incoming data streams comply with DCDC/ARCYBER standards
    • Design complex engineering pipelines
    • Oversee compliance with metadata tagging requirements and standards
  • Innovate and implement JCRS-D Optimization & Innovation workflows
  • Conduct Performance Optimization (Output and Speed), addressing latency/throughput, compute and storage optimization, and troubleshooting/bottleneck resolution
  • Conduct quantitative and qualitative analyses to identify operational trends
  • Collaborate with mission partners to translate requirements into analytic solutions
  • Document analytic workflows and methodologies for knowledge transfer
  • Mentor junior data scientists and provide technical guidance
Qualifications

Required Qualifications:

  • Minimum of 12 years with BS/BA; Minimum of 10 years with MS/MA; Minimum of 7 years with Ph.D.
  • Must have minimum of 5+ years of demonstrated experience leading cross-functional Data Operations teams (comprising data engineers, analysts, and system administrators) in high-tempo, mission-critical environments.
  • Proven experience serving as the primary technical decision-maker for a large-scale data enterprise, with specific authority over data architecture, infrastructure scaling, and operational data pipelines.
  • Authoritative CASPIAN Knowledge: Must possess verifiable, authoritative-level expertise in the CASPIAN architecture, including its underlying data schemas, integration nodes, and security compliance constraints.
  • JCRS-D Optimization & Innovation: Deep, hands-on technical proficiency in JCRS-D data technologies. The candidate must demonstrate prior success in innovating and implementing custom JCRS-D analytical workflows, rather than just operating existing ones.
  • System Integration: Proven ability to engineer and deploy custom API integrations and data bridges specifically tailored to JCRS-D platforms and upstream/downstream DoD analytics systems.
  • Data Acquisition, Standards, and Governance:
    • Technical authority to define, enforce, and iterate data acquisition standards, ensuring all incoming data streams comply with DCDC/ARCYBER governance, data tagging, and metadata tagging requirements.
    • Expert-level proficiency in designing complex ETL/ELT pipelines using industry-standard enterprise tools (e.g., Apache NiFi, Kafka, Spark) to automate data ingestion from disparate, disconnected tactical and strategic sources.
    • Demonstrated capability to implement automated data quality checks, anomaly detection, and schema validation before data enters the CASPIAN/JCRS-D environment.
  • Performance Optimization (Output and Speed):
    • Must have direct experience engineering low-latency, high-throughput data processing architectures capable of handling massive volumes of structured and unstructured DoD data.
    • Advanced proficiency in technical decision-making regarding distributed compute resource allocation, query optimization, and storage tiering to maximize analytical output speed.
    • Proven track record of identifying and remediating critical data flow bottlenecks within complex, classified or secure unclassified network enclaves.
  • Must have DoD 8570.01-M / 8140 certification compliance (e.g., IAT Level III or IASAE Level II/III).
  • Active TS with ability to obtain SCI.
  • US Citizenship Required.

Preferred

  • Minimum of 10+ years of advanced experience in data engineering, data architecture, and data operations within secure DoD or Intelligence Community (IC) environments.
Peraton Overview

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can’t be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we’re keeping people around the world safe and secure.

Target Salary Range

$146,000 - $234,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.

EEO

EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

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About Peraton

Sourced by ZipRecruiter

At Peraton, we re at the forefront of delivering the next big thing every day. We re the partner of choice to help solve some of the world s most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Herndon, VA, US

Year founded

2017