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Data Annotation Project Manager Jobs in Pittsburgh, PA

GAI Consultants

Data Center Project Manager

Homestead, PA · On-site

$109K/yr

We are seeking an experienced Data Center Project Manager to lead the delivery of complex, multidisciplinary data center and mission-critical projects across the United States. The candidate will be ...

GAI Consultants

Data Center Project Manager

Homestead, PA · On-site

$109K/yr

We are seeking an experienced Data Center Project Manager to lead the delivery of complex, multidisciplinary data center and mission-critical projects across the United States. The candidate will be ...

Techstra Solutions

Project Manager

PA · On-site

This role involves managing high-impact project teams in areas such as AI, software development, data, and automation domains. You will serve as the primary point of contact for clients, ensuring the ...

GrayMatter

Project Manager

Pittsburgh, PA

$145K - $175K/hr

Enter and review data in the project management system including budget reviews, cost review, timecards, expenses, etc. * Work collaboratively with project technical leads to identify work/task ...

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Data Annotation Project Manager information

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

As of Aug 28, 2026, the average hourly pay for data annotation project manager in Pittsburgh, PA is $55.83, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $65.34 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 are popular job titles related to Data Annotation Project Manager jobs in Pittsburgh, PA?

For Data Annotation Project Manager jobs in Pittsburgh, PA, the most frequently searched job titles are:

What job categories do people searching Data Annotation Project Manager jobs in Pittsburgh, PA look for?

The top searched job categories for Data Annotation Project Manager jobs in Pittsburgh, PA are:

What cities near Pittsburgh, PA are hiring for Data Annotation Project Manager jobs?

Cities near Pittsburgh, PA with the most Data Annotation Project Manager job openings:

Data Annotation Project Manager jobs near you
Infographic showing various Data Annotation Project Manager job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 88% In-person, and 12% Remote job distribution, with an average salary of $116,126 per year, or $55.8 per hour.

Data Center Project Manager

Pittsburgh, PA • On-site

H5 Data Centers
IT Services • 11 - 50 employees
Learn more about H5 Data Centersexternal

$117K/yr

Full-time

Re-posted 12 days ago

Job description

Position Summary

The Project Manager is responsible for managing the complete life cycle of highly complex projects including planning, execution, and closeout to ensure planned results are achieved on time. Develops budgets, timelines, and ensures progress to plan, as well as tracking critical project achievements. Works with outside vendors and internal teams to establish and achieve goals. Ensure the effective and economical use of H5 Data Center’s business resources, and to support the financial requirements of the operation at the Data Center facilities. Works to make sure proper operating procedures maintain the integrity and availability at the data center through drafting and updating documents, testing and compliance audits.

This position reports to the Senior Vice President.

Essential Job Functions

  1. Develop and lead. 
  1. Data Center Design
  2. Mechanical
  3. Electrical projects
  1. Provide Management status of all active Data Center projects and Key Performance indicators.
  2. Lead internal resources and vendors in the execution of Data Center deployments and builds.
  3. Responsible for Data Center annual certifications and compliance as assigned.
  4. Draft and optimize various Standard Operating Procedures for Data Center.
  5. Responsible for facility service delivery to Colocation customers.
  6. Accountable for infrastructure systems uptime.
  7. Evaluates and makes recommendations on Data Center equipment and processes.  
  8. Offers recommendations for increased reliability of all systems.  

Qualifications

Education:

  1. PMP certification is preferred.

Experience: 

  1. Experience with large scale data center projects.
  2. Experience operating large data centers mechanical and electrical systems.
  1. Broad experience of IT and Technical project delivery - must be familiar with 
  1. hardware
  2. datacenter
  3. purchasing 
  4. networks
  1. Experience in facility compliance audits.
  2. Five years project management experience. 
  1. Reading and understanding 
  1. blueprints
  2. schematics
  3. control ladder drawings
  4. flow charts

Skills and Abilities

  1. Ability to create project budgets and resource plans is required.
  2. Good communication skills in dealing with employees and vendors.
  3. Strong IT user skills with a working knowledge of Microsoft Word, Excel, Project.
  4. Must be capable to work on multiple projects at all times.
  5. Some travel.

 

 


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