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Data Annotation Project Manager Jobs in Tucson, AZ

Project Manager

Oro Valley, AZ · 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 ...

Job Title Sr. Project Manager Summary The Senior Project Manager is managing the successful ... Utilizing critical thinking, data analysis, and informed decision-making to overcome challenges.

Interpret survey data, maps, deeds, and other records to determine property boundaries and ... Excellent analytical, communication, and project management skills. * Valid driver's license and ...

Experience in mission-critical facilities like data centers is often a plus. * Technical Knowledge ... Proficiency in project management software (e.g., MS Project), MS Office Suite, and BMS software ...

Project Manager-Tucson, AZ

Tucson, AZ · On-site

$45K - $90K/yr

Project Manager Certerra is a consulting firm provides a of quality service that offers ... Review observation and test data for accuracy and completeness * Assist with proposal scoping and ...

WMS Program & Project Manager The Opportunity: Contribute To The Growth Of Your Career. Join our ... Strong analytical and critical thinking skills with the ability to interpret operational data and ...

WMS Program & Project Manager The Opportunity: Contribute To The Growth Of Your Career. Join our ... Strong analytical and critical thinking skills with the ability to interpret operational data and ...

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Data Annotation Project Manager information

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$54

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

As of Jun 12, 2026, the average hourly pay for data annotation project manager in Tucson, AZ is $54.37, according to ZipRecruiter salary data. Most workers in this role earn between $47.07 and $63.65 per hour, depending on experience, location, and employer.

What is the average salary for a data annotation project manager?

The average salary for a data annotation project manager typically ranges from $70,000 to $110,000 annually, depending on experience, location, and company size. In regions with a high cost of living, such as California, salaries tend to be higher to compensate for living expenses.

Does data annotation really pay you?

Data annotation project managers oversee labeling tasks and typically earn a salary or hourly wage, depending on the employer and project scope. Compensation varies based on experience, location, and the complexity of the annotation work, but it is generally a paid role with standard employment benefits. Freelance or contract annotators may be paid per task or project.

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.

Is data annotation real or fake?

Data annotation is a real and essential process in machine learning and AI development, involving labeling data such as images, text, or audio to train algorithms. Data annotation project managers oversee this work, ensuring accuracy and quality using tools like labeling platforms. The process is legitimate and widely used in industry for creating reliable datasets.

What is the highest salary of data annotation?

The highest salaries for data annotation project managers can reach up to $80,000 to $100,000 annually, depending on experience, location, and the complexity of projects managed. Senior roles with extensive oversight or specialized skills in tools like labeling platforms may earn higher compensation. Salary ranges vary widely based on industry and company size.

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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What cities near Tucson, AZ are hiring for Data Annotation Project Manager jobs? Cities near Tucson, AZ with the most Data Annotation Project Manager job openings:
Project Manager

Project Manager

Managed Staffing

Oro Valley, AZ • On-site

$35 - $40/hr

Contractor

Posted yesterday


Job description

Position: Project Manager (Temp Assignment)
Duration: 6 months – 1 year
Shift: 1st Shift

Job Description:
We are seeking an experienced Project Manager to support commercial aerospace engineering projects. This is a temporary assignment with an opportunity to work on dynamic projects in a collaborative environment.

Key Responsibilities:

  • Manage aerospace engineering projects, leading teams of 5+ members.

  • Interface with customers and facilitate technical discussions.

  • Develop, track, and maintain project plans using Microsoft Project and Project Online (experience with Project Server is a plus).

  • Perform data analysis and generate project reporting using MS Excel, Power BI, Power Query, SQL, and other reporting tools.

  • Ensure projects are delivered on time, within scope, and within budget.

Qualifications:

  • 2–5 years of project management experience, preferably in commercial aerospace engineering.

  • Strong leadership and team management skills.

  • Excellent communication and customer-facing skills.

  • Proficiency in Microsoft Project and Project Online; Project Server experience is a bonus.

  • Strong analytical skills and experience with data reporting tools (Excel, Power BI, Power Query, SQL, etc.).

Why Join Us:

  • Work on cutting-edge aerospace projects.

  • Temporary assignment with competitive pay.

  • Opportunity to collaborate with skilled engineers and project teams.