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Data Labeling Jobs in Silver Spring, MD (NOW HIRING)

Novul Solutions

Data Analyst

Arlington, VA · On-site

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 ...

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How much do data labeling jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for data labeling in Silver Spring, MD is $25.07, according to ZipRecruiter salary data. Most workers in this role earn between $16.47 and $28.76 per hour, depending on experience, location, and employer.

How much do data labelers make?

Data labelers typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the platform or employer. Some may work as freelancers or part-time, with pay rates varying accordingly.

How can I get started in data labeling?

To get started in data labeling, you should develop basic computer skills and familiarize yourself with common labeling tools or platforms. Many entry-level positions require attention to detail and sometimes a short training or tutorial before beginning work.

What are the key skills and qualifications needed to thrive in data labeling, and why are they important?

To thrive in Data Labeling, you need meticulous attention to detail, strong analytical abilities, and basic computer literacy, often supported by a high school diploma or equivalent. Familiarity with data annotation tools, image or text editing software, and experience with platforms like Labelbox or Amazon SageMaker Ground Truth are commonly advantageous. Exceptional concentration, patience, and the ability to follow precise instructions are valuable soft skills in this position. These skills and qualities are essential for ensuring the accuracy and consistency of labeled datasets, which are critical for training reliable AI and machine learning models.

What is data labeling?

A Data Labeling job involves annotating or tagging data, such as images, text, audio, or videos, to help train machine learning models. Labelers follow specific guidelines to classify data accurately so that AI systems can learn patterns and make predictions. This role is essential in fields like computer vision, natural language processing, and speech recognition. Strong attention to detail and consistency are crucial for ensuring high-quality training datasets.

What are the typical day-to-day responsibilities of a data labeling professional?

A Data Labeling professional is primarily responsible for reviewing and accurately tagging images, text, audio, or video data according to specified guidelines. Daily tasks often include managing large datasets, using annotation software to classify data, and verifying the quality and accuracy of the labels. Collaboration with data scientists, project managers, and other annotators is common, especially when clarifying labeling guidelines or resolving ambiguities. Attention to detail is crucial, as high-quality labeled data directly impacts the effectiveness of machine learning models and AI applications. Most positions are structured in team environments, where productivity and communication skills help ensure project deadlines are met.

What are data labeling jobs?

Data labeling jobs involve annotating or tagging data such as images, text, or videos to help train machine learning models. These roles typically require attention to detail and familiarity with labeling tools or software, and may be performed remotely or in a controlled environment.

Is data labeling a good career?

Data labeling is a growing field within data annotation and machine learning, often involving tasks like image, text, or audio annotation. It can offer entry-level opportunities with flexible schedules, but typically requires attention to detail and familiarity with labeling tools. Career advancement may depend on gaining technical skills or moving into related roles such as data analysis or machine learning engineering.
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Data Labeling jobs near you
Infographic showing various Data Labeling job openings in Silver Spring, MD as of August 2026, with employment types broken down into 71% Full Time, and 29% Part Time. Highlights an 100% In-person job distribution, with an average salary of $52,137 per year, or $25.1 per hour.

Data Analyst

Novul Solutions

Arlington, VA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 7 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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