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Data Annotation Manager Jobs in Virginia (NOW HIRING)

CaseGuard

Data Annotation Specialist

Arlington, VA · On-site

$40K - $50K/yr

We are seeking a detail-oriented Data Entry to support data preparation initiatives. This role is responsible for redacting sensitive information from files and reviewing, labeling, and categorizing

CaseGuard

Data Annotation Specialist

Arlington, VA

$40K - $50K/yr

We are seeking a detail-oriented Data Entry to support data preparation initiatives. This role is responsible for redacting sensitive information from files and reviewing, labeling, and categorizing

Enabled Intelligence

IT Support Manager

Falls Church, VA · On-site

$100K - $130K/yr

IT Support Manager Location: Falls Church, VA Enabled Intelligence Enabled Intelligence, Inc. provides extremely accurate, precise and secure data labeling to help our government and commercial

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All JobsData Annotation JobsData Annotation Manager JobsData Annotation Manager Jobs in Virginia

Data Annotation Manager information

See Virginia salary details

$30.7K

$96.3K

$170.5K

How much do data annotation manager jobs pay per year?

As of Aug 25, 2026, the average yearly pay for data annotation manager in Virginia is $96,311.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,400.00 and $124,400.00 per year, depending on experience, location, and employer.

What does a data annotation manager do?

A Data Annotation Manager oversees the process of labeling and categorizing data used to train machine learning models. They manage teams of annotators, ensure data quality, develop annotation guidelines, and coordinate with data scientists to meet project requirements. Their role is critical in maintaining high standards of accuracy and efficiency, as well as ensuring that datasets are properly prepared for AI and machine learning applications.

What are the key skills and qualifications needed to thrive as a data annotation manager?

To thrive as a Data Annotation Manager, you need expertise in data labeling processes, quality control, and a solid understanding of machine learning concepts, usually backed by a degree in computer science or a related field. Proficiency with annotation tools such as Labelbox, Supervisely, or CVAT, as well as experience with project management systems, is commonly required. Exceptional leadership, attention to detail, and strong communication skills help manage teams and ensure high annotation accuracy. These skills are critical for delivering reliable labeled datasets, which are essential for building effective AI and machine learning models.

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

Data Annotation Managers often encounter challenges such as maintaining high annotation quality across large and diverse datasets, managing a distributed team of annotators, and meeting tight project deadlines. To address these, it's important to implement robust quality assurance processes, provide ongoing training for annotators, and establish clear communication channels. Leveraging annotation tools with built-in validation features can also help ensure consistency and accuracy. Building a positive and collaborative team environment further contributes to better outcomes and workflow efficiency.

What is the difference between Data Annotation Manager vs Data Labeling Specialist?

AspectData Annotation ManagerData Labeling Specialist
CredentialsBachelor's degree in related field, experience in data managementHigh school diploma or equivalent, training in labeling tools
Work EnvironmentTeam management, project oversight, collaboration with data scientistsHands-on labeling work, using annotation tools, focused on data tagging
Industry UsageUsed in AI/ML projects for overseeing annotation teamsPerforms the actual data labeling tasks in machine learning workflows

The Data Annotation Manager oversees the entire annotation process, managing teams and ensuring quality, while the Data Labeling Specialist focuses on executing labeling tasks. Both roles are essential in AI/ML data preparation but differ in responsibilities and scope.

What are the most commonly searched types of Data Annotation jobs in Virginia?

The most popular types of Data Annotation jobs in Virginia are:

What are popular job titles related to Data Annotation Manager jobs in Virginia?

For Data Annotation Manager jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Data Annotation Manager jobs in Virginia look for?

The top searched job categories for Data Annotation Manager jobs in Virginia are:

What cities in Virginia are hiring for Data Annotation Manager jobs?

Cities in Virginia with the most Data Annotation Manager job openings:

Data Annotation Manager jobs near you
Infographic showing various Data Annotation Manager job openings in Virginia as of August 2026, with employment types broken down into 85% Full Time, 7% Part Time, and 8% Contract. Highlights an 71% In-person, 7% Hybrid, and 22% Remote job distribution, with an average salary of $96,311 per year, or $46.3 per hour.

Data Annotation Specialist

Arlington, VA • On-site

CaseGuard
Software Development • 11 - 50 employees
Learn more about CaseGuardexternal

$40K - $50K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 3 days ago

Job description

We are seeking a detail-oriented Data Entry to support data preparation initiatives. This role is responsible for redacting sensitive information from files and reviewing, labeling, and categorizing images to support machine learning model training. Accuracy, confidentiality, and consistency are critical to success in this role.
Key Responsibilities:
  • Review digital documents and redact sensitive or confidential information according to established guidelines.
  • Perform accurate data entry and data validation to ensure high-quality datasets.
  • Review, label, and categorize images to support machine learning and AI model training.
  • Follow detailed annotation and redaction standards to ensure consistency.
  • Conduct quality checks to identify errors or inconsistencies.
  • Handle sensitive data with discretion and comply with privacy and security policies.
  • Meet productivity and accuracy benchmarks while managing multiple tasks.

Qualifications:
  • Bachelor's degree in any field.
  • High attention to detail and ability to work with repetitive tasks while maintaining accuracy.
  • Basic technical proficiency and ability to learn new software tools quickly.
  • Strong organizational skills and ability to meet deadlines.
  • Excellent communication skills and ability to follow instructions.
  • Ability to maintain confidentiality and handle sensitive information.

Benefits:
  • Competitive Salary
  • Stock Option
  • Medical, Dental, and Vision Insurance
  • 401K
  • Paid Vacation
  • Ten paid holidays per year
  • Friendly and Learning environment

Salary Range:$40,000 - $50,000
About CaseGuard
CaseGuard is a software company that helps law enforcement agencies, federal agencies, hospitals, schools, airports, and others manage all their media redaction needs in one easy-to-use redaction software. CaseGuard Studio is one of its kind. Our team is driven by a passion for great software design, the creation of great products, and the creative process, CaseGuard implements innovative ideas across multiple services and agencies.

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