1

Data Annotation Project Manager Jobs in Arizona (NOW HIRING)

Data Center Project Manager

Chandler, AZ ยท On-site

$125K - $130K/yr

Provide Management status of all active Data Center projects and Key Performance indicators. * Lead internal resources and vendors in the execution of Data Center deployments and builds.

Data Center Project Manager

Chandler, AZ ยท On-site

$119K/yr

About the Role Are you a strategic builder who thrives in fast-paced, high-stakes environments? We're looking for an experienced Project Manager to lead large-scale hyperscale data center ...

... management experience. Our market approach is unique in that we are pursuing intelligent integration projects involving both (Electrical & Data/Communications) markets. We have outlined the ...

... management experience. Our market approach is unique in that we are pursuing intelligent integration projects involving both (Electrical & Data/Communications) markets. We have outlined the ...

Project Manager

Oro Valley, AZ ยท On-site

$35 - $40/hr

Project Manager (Temp Assignment) Duration: 6 months - 1 year Shift: 1st Shift We are seeking an ... Perform data analysis and generate project reporting using MS Excel , Power BI , Power Query , SQL ...

Position Summary The Project Manager I provides oversight and coordination of projects/programs with medium to large scopes and/or complexity. They provide leadership to project and program team ...

Project Manager-Data Center

Phoenix, AZ ยท On-site

$120K/yr

As a CBRE Project Management Manager, you'll manage a team responsible for providing basic management services to achieve the company's strategic business objectives. This job is part of the Project ...

The Project Manager will be the POC with client (data center/ building commissioning companies) personnel and the Regional Manager. The Project Manager will execute the work as well as oversee it.

The Project Manager will be the POC with client (data center/ building commissioning companies) personnel and the Regional Manager. The Project Manager will execute the work as well as oversee it.

The Project Manager will be the POC with client (data center/ building commissioning companies) personnel and the Regional Manager. The Project Manager will execute the work as well as oversee it.

Project Manager

Phoenix, AZ ยท On-site

$105K - $115K/yr

Project Manager - Data Centers Location: Phoenix, AZ Job Type: Full-Time Salary: $105k - $115k/year About the Role: A growing systems integration company is looking for a Senior Project Manager with ...

Be Seen First

Construction Project Manager - Data Center Design & Delivery Help shape the next generation of hyperscale data centers. We're looking for an experienced Data Center Construction Project Manager to ...

NV5 is currently seeking a Project Manager to join our Americas Mission Critical team and service our clients nationally as needs dictate. The successful candidate will be self-motivated and well ...

NV5 is currently seeking a Project Manager to join our Americas Mission Critical team and service our clients nationally as needs dictate. The successful candidate will be self-motivated and well ...

next page

Showing results 1-20

Data Annotation Project Manager information

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 are met, often requiring familiarity with annotation tools and project management skills.

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 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 popular job titles related to Data Annotation Project Manager jobs in Arizona? For Data Annotation Project Manager jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Data Annotation Project Manager jobs in Arizona look for? The top searched job categories for Data Annotation Project Manager jobs in Arizona are:
What cities in Arizona are hiring for Data Annotation Project Manager jobs? Cities in Arizona with the most Data Annotation Project Manager job openings:

AI Training Specialist (Data Annotation)

Remote Talent Cloud

Phoenix, AZ โ€ข Remote

$20/hr

Contractor

Posted 5 days ago


Job description

As an AI Training Specialist (Data Annotation), you'll play a key role in helping train and improve artificial intelligence (AI) systems. Your work will directly support how AI models learn to recognize text, images, and other data accurately.

Your main responsibilities will include:

  • Labeling and categorizing data (such as text, images, or short videos) according to detailed project guidelines
  • Reviewing and verifying data for accuracy, consistency, and completeness
  • Identifying and flagging any errors, inconsistencies, or unclear data
  • Following clear annotation instructions to ensure high-quality results
  • Meeting productivity and accuracy goals within project timelines
  • Maintaining confidentiality and adhering to all data security standards

Requirements

We're looking for detail-oriented individuals who are comfortable working independently and enjoy structured, accuracy-focused tasks. The ideal candidate will have:

  • This is a fully remote position, but you must be located within the United States
  • Excellent attention to detail and strong organizational skills
  • A reliable Internet connection and computer
  • The ability to focus for extended periods and follow detailed written instructions
  • Strong written communication skills in English
  • Previous data annotation, labeling, or transcription experience is a plus, but not required

Benefits

  • Fully remote: work from anywhere within the United States
  • Full-time and part-time available
  • Competitive hourly pay from $20/hr
  • Training provided for all annotation tools and workflows
  • Gain hands-on experience supporting real-world AI training projects
  • Be part of a growing remote team working on cutting-edge technology