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Data Annotation Project Manager Jobs in Utah (NOW HIRING)

As a Project Manager within the Field & Supply Chain Operations PMO, you will lead initiatives that ... Ability to operate effectively in ambiguous, fast-paced environment Comfort working with data ...

Project Manager

Salt Lake City, UT · On-site

$85K - $100K/yr

We design, install, and support commercial network cabling for data centers, multimedia, security ... Budget Management- Assume responsibility for the multi-million dollar project budget including ...

NPI Project Manager In Office /Remote: /Hybrid Exempt / Non-exempt Based: Manila, Philippines ... Our products enable faster, more efficient power delivery across AI data centers, high-performance ...

... or Google Data Studio • Demonstrated use of AI tools (Claude, ChatGPT, Copilot) to improve project management productivity -- report drafting, data synthesis, risk analysis, or process ...

PCI is seeking an experienced Project Manager for its PCI Portland 553 operations based in Salt ... Experienced in data center/semi-conductor. Framing, exterior cladding, grid, RAF, mechanical and ...

PCI is seeking an experienced Project Manager for its PCI Portland 553 operations based in Salt ... Experienced in data center/semi-conductor. Framing, exterior cladding, grid, RAF, mechanical and ...

PCI is seeking an experienced Project Manager for its PCI Portland 553 operations based in Salt ... Experienced in data center/semi-conductor. Framing, exterior cladding, grid, RAF, mechanical and ...

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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 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.
What job categories do people searching Data Annotation Project Manager jobs in Utah look for? The top searched job categories for Data Annotation Project Manager jobs in Utah are:
What cities in Utah are hiring for Data Annotation Project Manager jobs? Cities in Utah with the most Data Annotation Project Manager job openings:
MDM Project Manager (Data Governance)

MDM Project Manager (Data Governance)

Wipro Limited

Redmond, UT • On-site

$60K - $148K/yr

Full-time

Medical, Dental, PTO

Posted 5 days ago


Wipro rating

7.6

Company rating: 7.6 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

92nd of 210 rated it services


Job description

Job Title: MDM Project Manager (Data Governance)
City: Redmond
State/Province: Washington
Posting Start Date: 7/8/26
Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients' most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.
Job Description:
Job Role: Master Data Management Project Manager (Data Governance)
Primary Skillset: MDM , Data Governance, SQL, Azure Data Platform, Power BI, Data Warehousing, Data Integration Platforms
Required Experience:
  • Experience managing enterprise-wide data governance programs
  • Ability to drive cross-functional alignment across engineering, supply chain, finance, operations, and business teams
  • Experience defining governance policies and controls
  • Experience with data quality KPIs and audit processes
  • Stakeholder management at leadership level
  • Requirements gathering and roadmap ownership

Mandatory Skills: Azure Cloud Data Platform Engineering.
Experience: 5-8 Years.
The expected compensation for this role ranges from $60,000 to $148,500 .
Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.
Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.
Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.
Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.

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