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Data Annotation Project Manager Jobs in Milwaukee, WI

Project Manager

Racine, WI · Remote

$50 - $70/hr

Project Manager, Hybrid (Racine, WI). Start date is ASAP for this 2-year contract position. Job ... Collect, synthesize, and present project data in clear formats for stakeholder reporting and ...

Analyze KPIs and production data to inform project decisions and prioritization Safety, Quality ... Experience managing contractors and capital equipment installations Work Environment

Analyze KPIs and production data to inform project decisions and prioritization Safety, Quality ... Experience managing contractors and capital equipment installations Work Environment

Manage project documentation and correspondence, ensuring accuracy and compliance; coordinate with ... data-driven design solutions that benefit people and the planet. If you are a strategic ...

... and data analytics. Since its inception, Halo Group has been recognized for numerous awards ... Project Manager Location : Madison, WI Contract Summary: This role is responsible for managing ...

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Data Annotation Project Manager information

See Milwaukee, WI salary details

$16

$56

$79

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

As of Jul 13, 2026, the average hourly pay for data annotation project manager in Milwaukee, WI is $56.66, according to ZipRecruiter salary data. Most workers in this role earn between $49.04 and $66.30 per hour, depending on experience, location, and employer.

How much do data annotation project managers make?

Data annotation project managers typically earn between $60,000 and $100,000 annually, depending on experience, location, and company size. They oversee annotation teams, coordinate workflows, and ensure quality standards using tools like labeling platforms and project management software.

Does data annotation actually pay?

Data annotation project managers oversee tasks where annotators are paid for labeling data used in machine learning. The pay for annotators varies depending on the platform, project complexity, and experience, with many earning hourly wages or per-task rates. The role of a project manager involves coordinating these efforts and ensuring quality, often with a salary or contract-based compensation.

What are the key skills and qualifications needed to thrive as a Data Annotation Project Manager, and why are they important?

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.

How hard is it to get hired by data annotation?

Getting hired as a data annotation project manager typically requires relevant experience in project management, familiarity with annotation tools, and strong organizational skills. The role often involves coordinating teams and ensuring quality standards, with some positions requiring certifications or prior experience in data labeling environments. Competition varies depending on the company and location, but demonstrating technical knowledge and management ability can improve chances of hiring.

What is the salary of data annotation manager?

The salary of a Data Annotation Project Manager typically ranges from $60,000 to $100,000 annually, depending on experience, location, and company size. They often oversee teams using annotation tools and ensure quality standards are met in data labeling projects.

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 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.
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Project Manager

Project Manager

Mondo

Racine, WI • Remote

$50 - $70/hr

Contractor

Medical, Dental, Vision, Retirement

Posted 22 hours ago


Job description

Apply now: Project Manager, Hybrid (Racine, WI). Start date is ASAP for this 2-year contract position. Job Title: Project Manager Location-Type: Hybrid, Racine, WI (Onsite preferred; remote candidates must be available for onsite visits once a month in weeklong periods; travel reimbursed) Start Date: ASAP Duration: Contract, 2 years (extension possible) Compensation Range: $50-70/hr  Benefits: Eligible for Health, Dental, Vision, and 401K Visa Sponsorship: Not eligible for visa sponsorship Job Description:
  • The client is seeking an experienced Project Manager to lead cross-functional initiatives, drive accountability across multiple teams, and deliver structured reporting and budget oversight in a complex, matrixed environment.
Job Summary
  • Manage end-to-end project lifecycles across multiple concurrent initiatives, ensuring on-time and on-budget delivery
  • Track and report on budget utilization and resource allocation to support informed decision-making by stakeholders
  • Collect, synthesize, and present project data in clear formats for stakeholder reporting and executive visibility
  • Facilitate Agile and Scrum ceremonies, including sprint planning, retrospectives, and stand-ups, to maintain team cadence
  • Coordinate cross-functional collaboration across internal teams, ensuring alignment, accountability, and clear communication
  • Handle sensitive project discussions with confidentiality, integrity, and professional discretion
  • Utilize JIRA and Microsoft tools, including Excel, PowerPoint, and SharePoint, to manage project documentation and reporting
Minimum Requirements:
  • 5-10 years of project management experience, with cybersecurity or infrastructure experience a plus
  • 5 years of experience in budget tracking and resource management
  • Demonstrated experience collecting data and producing stakeholder-facing reports
  • Hands-on experience with Agile and Scrum methodologies
  • Strong communication and problem-solving skills across multiple teams and organizational levels
  • Bachelor's degree in any field, IT disciplines preferred
Preferred Qualifications:
  • PMP Certification
  • Agile or Scrum certification (e.g., CSM, SAFe, PMI-ACP)
  • Background in cybersecurity or IT infrastructure project environments