ZipRecruiter

Log In

1

Data Tagging Analyst Jobs (NOW HIRING)

ACT1 Federal

Data Curation Lead

Arlington, VA · On-site

$160K - $210K/yr

Strong written documentation skills; ability to communicate data curation findings and tagging recommendations clearly to both cost analyst and data engineering audiences. Requirements: * Bachelor ...

ACT1 Federal

Data Curation Lead

Arlington, VA · Hybrid

$160K - $210K/yr

Strong written documentation skills; ability to communicate data curation findings and tagging recommendations clearly to both cost analyst and data engineering audiences. Requirements: * Bachelor ...

Booz Allen Hamilton, Inc.

Data Architect

Warner Robins, GA · On-site

$86K - $198K/yr

... data tagging, discovery, and cross-domain availability. You'll create, design, and implement data architecture solutions in collaboration with business analysts and technology teams to support ...

Booz Allen Hamilton, Inc.

Data Architect

Warner Robins, GA · On-site +1

$86K - $198K/yr

... data tagging, discovery, and cross-domain availability. You'll create, design, and implement data architecture solutions in collaboration with business analysts and technology teams to support ...

Booz Allen Hamilton

Data Architect

Warner Robins, GA

$86K - $198K/yr

... tagging, discovery, and cross-domain availability.You'll create, design, and implement data architecture solutions in collaboration with business analysts and technology teams to support current and ...

Peraton

$111K - $134K/yr

Deep understanding of the DoD Zero Trust Strategy, specifically focusing on the Data visibility, tagging, and analytics pillars. * Experience with scripting languages (e.g., Python, PowerShell) to ...

Technomics

Cyber Risk Analyst SME

Arlington, VA · On-site +1

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

InterImage

Junior Software Engineer

Laurel, MD · On-site

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 ...

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 Integration Analyst

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 ...

Riskified

Data Integration Analyst

New York, NY · On-site +1

$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 ...

previous pagenext page

Showing results 21-40

All JobsData Tagging Analyst Jobs

Data Tagging Analyst information

See salary details

$34K

$82.6K

$136K

How much do data tagging analyst jobs pay per year?

As of Sep 13, 2026, the average yearly pay for data tagging analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is a data tagging analyst?

Data Tagging Analysts are professionals responsible for labeling and annotating data, such as images, videos, text, or audio, to make it understandable for machine learning algorithms. Their work is crucial for training artificial intelligence systems, as accurately tagged data helps improve the performance and accuracy of AI models. They often use specialized tools to categorize and tag data according to specific guidelines, ensuring consistency and quality. Data Tagging Analysts may work in various industries, including technology, healthcare, and finance, wherever large sets of labeled data are needed for AI applications.

What are the key skills and qualifications needed to thrive as a data tagging analyst, and why are they important?

To thrive as a Data Tagging Analyst, you need strong analytical skills, attention to detail, and a background in data management or related fields, often supported by a relevant degree or practical experience. Familiarity with data labeling platforms, annotation tools, and sometimes basic programming or SQL knowledge is typically required. Excellent communication, collaboration, and time management skills help ensure accuracy and efficiency when working with large datasets or cross-functional teams. These abilities are crucial for delivering high-quality, structured data that powers machine learning and AI initiatives.

What are some common challenges faced by data tagging analysts, and how can they be addressed?

Data Tagging Analysts often encounter challenges such as maintaining consistency when labeling large datasets and interpreting ambiguous data points. To address these issues, it’s important to follow clear annotation guidelines, regularly participate in team discussions to clarify labeling standards, and use quality control tools to catch errors. Collaborating closely with data scientists and project managers can also help resolve uncertainties and ensure the accuracy of tagged data. Staying organized and open to feedback allows analysts to continuously improve their efficiency and data quality.

What is the difference between Data Tagging Analyst vs Data Labeling Specialist?

AspectData Tagging AnalystData Labeling Specialist
Required CredentialsHigh school diploma or equivalent; some roles prefer certifications in data managementHigh school diploma; certifications in data annotation are a plus
Work EnvironmentOffice or remote; collaborative with data science teamsPrimarily remote; focused on data annotation tasks
Employer & Industry UsageTech companies, AI firms, data service providersAI companies, machine learning firms, data annotation services

The Data Tagging Analyst and Data Labeling Specialist roles are similar, focusing on preparing data for AI and machine learning. The main difference lies in the scope and sometimes in the level of responsibility, with Data Tagging Analysts often involved in more complex data management tasks, while Data Labeling Specialists focus on precise annotation work. Both roles are essential in the data preparation pipeline and are commonly found in tech and AI industries.

What cities are hiring for Data Tagging Analyst jobs?

Cities with the most Data Tagging Analyst job openings:

What states have the most Data Tagging Analyst jobs?

States with the most job openings for Data Tagging Analyst jobs include:

What are popular job titles related to Data Tagging Analyst jobs?

For Data Tagging Analyst jobs, the most frequently searched job titles are:

Infographic showing various Data Tagging Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Curation Lead

Arlington, VA • On-site

ACT1 Federal
See more jobs at ACT1 Federalexternal

$160K - $210K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 days ago

Job description

Position Title: Data Curation Lead
Location: National Capital Region
Category: Contingent
Schedule (FT/PT): FT
Travel Required: NA
Shift: Day
Remote Type: Hybrid
Clearance required: Active Secret Clearance required
Division: Aviation
Salary: $160,000-$210,000
***THIS POSITION IS CONTINGENT UPON CONTRACT AWARD***
Who is ACT1 Federal? ACT1 Federal LLC is a 100% employee-owned company. We've served the Department of Defense (DoD) for nearly thirty years. Our core missions include weapon systems engineering, logistics, space domain expertise, global defense and security, business and financial management for security assistance and major defense articles, as well as military training and arctic security. Join us!
Description: Perform data curation, metadata tagging, and data quality preparation activities on CSDR submission data in support of the CSDR data ingestion environment maintained by the Government. The objective is to ensure that CSDR submissions - the Cost Data Report (Flexfile and 1921 series), the Quantity Data Report, the Technical Data Report, the SRDR, and the M&R, and the CBDR - are properly tagged, normalized, and quality-checked as they move from the submission state into the downstream cost estimating analytical environment. This task is performed as recurring data stewardship in support of the CSDR mission and is not pipeline development.
Responsibilities:
  • Review CSDR submissions for data quality issues including missing values, internal inconsistencies, mis-aligned WBS elements, inflation/escalation treatment, and other issues that would impede downstream analytical use.
  • Apply normalization treatments as directed by the AFCAA technical lead, including WBS alignment to the CADE Standard WBS, Cost Element Structure (CES) standardization, and inflation/price-escalation adjustments.
  • Document each cleansing and normalization action taken on each submission such that the original-submitted data and the curated data remain distinguishable and traceable.
  • Apply metadata tags to CSDR submissions consistent with the AFCAA-approved metadata schema, including programmatic identifiers (program, contract, contractor, contract line item, reporting period, submission type, ACAT level, commodity area, and other approved tags).
  • Where new tags are required to support emerging cost estimating analytical needs, the contractor shall recommend additions or modifications to the metadata schema to the AFCAA technical lead for Government concurrence prior to implementation. The contractor shall not unilaterally modify the approved schema.
  • Apply technical parameter tagging to Technical Data Report submissions to support discoverability and traceability of form, fit, and function parameters across the program portfolio.
  • Perform focused curation of Quantity Data Report submissions, including standardization of quantity-time phasing representations, reconciliation of quantity reporting against contract and program quantities, and tagging of quantity data to support downstream cost-per-unit and learning-curve analysis.
  • Perform focused curation of Technical Data Report submissions, including extraction and structured tagging of form, fit, and function parameters; mapping to the approved CSDR Plan technical parameter list; and identification of parameter gaps relative to the cost estimating community's known analytical needs.
  • Provide recommendations to the AFCAA technical lead on improvements to the Quantity Data Report and Technical Data Report planning templates and tagging conventions based on patterns observed during curation.
  • Perform upstream data preparation activities required for CSDR submissions to be ingested by Government-maintained data infrastructure. These activities are limited to data preparation, tagging, normalization, and quality-check actions performed on the CSDR submission data itself. Configuration, modification, or development of Government data infrastructure is not in scope for this PWS.
  • Coordinate with Government data engineers on data format, tagging, and quality issues that affect downstream ingestion.
  • Maintain documentation of curation rules, tagging conventions applied, normalization procedures, and data quality findings sufficient for Government personnel to understand, audit, and reproduce the curation work performed.
  • Deliver curation and tagging documentation

Key Skills and Experience:
  • Data Curation and Stewardship: Demonstrated experience curating large, structured datasets, including data quality assessment, normalization, and traceable documentation of curation actions.
  • Metadata and Tagging: Demonstrated experience designing and applying metadata schemas and programmatic tags to structured data, with familiarity with cost-data tagging conventions (program identifier, contract identifier, WBS, CES, ACAT level, commodity).
  • CSDR Submission Familiarity: Working familiarity with the CSDR submission set, including the Cost Data Report (FlexFile and 1921-series), the Quantity Data Report, the Technical Data Report, the SRDR, and the M&R.
  • Programming and Data Manipulation: Proficiency in Python and SQL, with practical experience using data-manipulation libraries (Pandas, NumPy, or equivalent) for cleansing and transformation of structured data.
  • Data Pipeline Familiarity: Familiarity with data pipeline concepts (ETL/ELT, staging, quality checks) sufficient to support upstream data preparation work. The Key Personnel is not expected to design or develop Government pipelines under this PWS but shall coordinate effectively with the Government pipeline owners.
  • Tools Proficiency: Working knowledge of CADE, DACIMS, cPet, PPM, and CSDR-SR submission systems; working familiarity with DAF Data Fabric platforms including VAULT and Envision.
  • Documentation and Communication: Strong written documentation skills; ability to communicate data curation findings and tagging recommendations clearly to both cost analyst and data engineering audiences.

Requirements:
  • Bachelor's degree.
  • Must have at least ten (10) years of progressively responsible experience in data engineering, data curation, or data science with substantial experience working with DoW cost data, CSDR submissions, or comparable structured technical/financial reporting data.
  • CSDR experience is mandatory.
  • Expertise shall include a strong understanding of CSDR policy, planning, validation, compliance, and the CADE application.
  • Active Secret Clearance required.

Benefits:
  • Medical/Dental/Vision Insurance
  • ACT1 Employee Stock Ownership Plan (ESOP)
  • Company Paid Life and AD&D Insurance
  • Company Paid Short-Term Disability
  • Voluntary Long-Term Disability
  • Flexible Spending Accounts (FSA)
  • Health Savings Account (HSA)
  • 401K with employer match
  • Paid Time Off
  • Paid Holidays
  • Parental Leave
  • Military Leave
  • Education, Training & Professional Development
  • Voluntary Accidental Injury/Critical Illness/Hospital Care
  • Voluntary Pet Insurance, Legal Resources, and Identity Protection

Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.
  • If this position is listed as remote or hybrid, you'll periodically work from a ACT1 Federal or client site facility.
  • If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role.

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law.

Apply