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Data Annotation Project Manager Jobs in King George, VA

Project Manager

Fredericksburg, VA · On-site

$65 - $75/hr

Develop and maintain Project Management Plans (PMPs), work breakdown structures, and milestone ... Facilitate coordination among functional leads (Solution Architect, Cybersecurity, Data & Analytics ...

The Project Manager will be interacting and directing resources on projects involving the ... Solid understanding of complicated data analysis theory, project cost estimation, and profitability ...

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Data Annotation Project Manager information

See King George, VA salary details

$15

$53

$74

How much do data annotation project manager jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for data annotation project manager in King George, VA is $53.69, according to ZipRecruiter salary data. Most workers in this role earn between $46.44 and $62.84 per hour, depending on experience, location, and employer.

What is a data annotation project manager?

A Data Annotation Project Manager is responsible for overseeing projects that involve labeling and categorizing data, such as images, text, or audio, to train machine learning models. They coordinate teams of annotators, manage project timelines, and ensure the quality and accuracy of the annotated data. This role often acts as a bridge between data scientists, clients, and annotation teams, ensuring project requirements are met efficiently and effectively.

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

To thrive as a Data Annotation Project Manager, you need strong project management skills, a solid understanding of data annotation processes, and experience with quality assurance, often supported by a degree in a relevant field. Familiarity with annotation tools (like Labelbox or Supervisely), workflow management platforms, and sometimes agile or PMP certification is highly beneficial. Exceptional communication, attention to detail, and leadership abilities help you effectively coordinate teams and ensure project deliverables meet quality standards. These skills are essential for managing complex annotation projects efficiently, maintaining data integrity, and supporting successful machine learning outcomes.

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

One of the primary challenges Data Annotation Project Managers face is ensuring high-quality, consistent labeling across large and sometimes distributed annotation teams. Managing tight deadlines while maintaining annotation accuracy requires effective training, clear guidelines, and regular quality checks. Additionally, balancing communication between data scientists, clients, and annotators is crucial to align expectations and resolve ambiguities quickly. Successful managers often implement robust feedback loops, leverage annotation tools with built-in quality control features, and foster an open environment for continuous improvement.

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

AspectData Annotation Project ManagerData Labeling Specialist
CredentialsTypically requires project management experience, certifications in data management or related fieldsOften requires basic technical skills, familiarity with labeling tools, sometimes certifications in data annotation
Work EnvironmentOversees teams, manages projects, coordinates workflows in office or remote settingsPerforms labeling tasks, often in a remote or on-site environment, focused on data tagging
Employer & Industry UsageUsed by tech companies, AI firms, and data service providers for managing annotation projectsEmployed within similar industries, focusing on executing labeling tasks under supervision

The main difference is that the Data Annotation Project Manager oversees and coordinates annotation projects, ensuring quality and deadlines, while the Data Labeling Specialist focuses on executing the labeling tasks themselves. Both roles are essential in the data annotation process but differ in responsibilities and scope.

What job categories do people searching Data Annotation Project Manager jobs in King George, VA look for?

The top searched job categories for Data Annotation Project Manager jobs in King George, VA are:

What cities near King George, VA are hiring for Data Annotation Project Manager jobs?

Cities near King George, VA with the most Data Annotation Project Manager job openings:

Project Manager

Fredericksburg, VA • On-site

RecruitTalent LLC.
IT Services • 1 - 10 employees

$65 - $75/hr

Contractor

Re-posted 4 days ago


Job description

General Responsibilities:

  • Lead overall project planning, scheduling, and execution across all GWRC task areas.
  • Develop and maintain Project Management Plans (PMPs), work breakdown structures, and milestone schedules consistent with PMBOK, Agile, and CMMI principles.
  • Define and track scope, timelines, resources, risks, and deliverables, ensuring alignment with contract objectives.
  • Facilitate coordination among functional leads (Solution Architect, Cybersecurity, Data & Analytics, Change Management) to ensure interoperability and cross-category consistency.
  • Conduct status reviews, performance tracking, and reporting using dashboards and progress metrics.
  • Manage stakeholder communication, including executive briefings, technical reports, and performance updates.
  • Oversee risk management and mitigation planning, identifying potential issues and implementing corrective actions.
  • Ensure quality assurance and compliance with contractual, technical, and cybersecurity standards.
  • Support budget management, resource allocation, and procurement coordination for all task areas.
  • Promote Agile and DevOps practices, including sprint planning, backlog prioritization, and iterative delivery.
  • Collaborate with Change Management and Training teams to ensure smooth transition and adoption of new systems.
  • Serve as liaison between technical teams, end users, and GWRC leadership, ensuring stakeholder satisfaction and project transparency.

Minimum Qualifications:

  • Education: Bachelor’s or Master’s degree in Engineering, Computer Science, Information Technology, Management, or related discipline.
  • Experience:
    • Minimum 10 years of experience in IT project or program management, with at least 5 years leading multi-disciplinary teams across automation, cybersecurity, or data modernization efforts.
    • Demonstrated success managing government or enterprise IT programs from initiation through deployment and sustainment.
    • Proven record of meeting performance, cost, and schedule goals across complex engagements.

Technical & Management Expertise:

  • Strong understanding of project management methodologies — PMBOK, Agile, Scrum, and Waterfall.
  • Familiarity with automation, cybersecurity, and analytics initiatives to coordinate effectively with technical leads.
  • Experience managing risk, quality assurance, configuration management, and change control.
  • Working knowledge of ServiceNow, Microsoft Project, Jira, Confluence, and reporting tools.
  • Ability to integrate project management practices with NIST, FedRAMP, and data governance frameworks.

Preferred Certifications:

  • Project Management Professional (PMP) – PMI
  • Certified Scrum Master (CSM) or Agile Certified Practitioner (PMI-ACP)
  • ITIL Foundation / Intermediate
  • Lean Six Sigma Green or Black Belt
  • CompTIA Project+ or equivalent program management credential