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Data Annotation Project Manager Jobs in Marion, IA

We are seeking a highly organized and results-driven Project Manager to oversee cleaning projects within data centers and construction sites. The ideal candidate will have experience managing teams ...

The Project Manager oversees all aspects of project delivery, including planning, execution ... With agile intelligence, Sapiens' solutions turn real-time data and human insight into precise ...

Our data center solutions provide optimal flooring, ceilings, accessories, and more with the ... Role Description Generalist extension of the Project Manager, absorbing responsibilities when ...

Our data center solutions provide optimal flooring, ceilings, accessories, and more with the ... Role Description Generalist extension of the Project Manager, absorbing responsibilities when ...

Minimum Qualifications Required: * 5+ proven years of recent experience as a Project Manager in the electrical data center construction industry. * Strong knowledge of electrical systems, codes, and ...

Minimum Qualifications Required: * 5+ proven years of recent experience as a Project Manager in the electrical data center construction industry. * Strong knowledge of electrical systems, codes, and ...

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Data Annotation Project Manager information

See Marion, IA salary details

$16

$57

$80

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

As of Jul 15, 2026, the average hourly pay for data annotation project manager in Marion, IA is $57.34, according to ZipRecruiter salary data. Most workers in this role earn between $49.62 and $67.12 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.
Infographic showing various Data Annotation Project Manager job openings in Marion, IA as of July 2026, with employment types broken down into 2% Locum Tenens, 15% Full Time, 34% Part Time, 15% Contract, 33% Nights, and 1% Summer. Highlights an 34% Physical, and 66% Remote job distribution, with an average salary of $119,258 per year, or $57.3 per hour.
Engineering Project Manager - Data Center

Engineering Project Manager - Data Center

Olsson

Cedar Rapids, IA

$118K/yr

Other

Re-posted 8 days ago


Job description

Job Description

Olsson delivers multidisciplinary design services for some of the world's most innovative companies. Our U.S. data center projects rank among the largest and most complex engineering efforts today, giving you the chance to shape critical infrastructure that powers global connectivity. 

We are seeking a skilled Project Manager to join our industry-leading Data Center Project Management team. In this role, you will oversee large, multidiscipline design projects throughout the design and construction phases, ensuring the project adheres to the approved design, specifications, and contractual agreements while promptly resolving issues during construction.  You will be responsible for driving the project forward through project closeout, ensuring successful delivery on time, within scope, and on budget.  

Primary responsibilities include: 

  • Stakeholder Liaison: Act as the primary point of contact between the design team, client representatives, contractors, and stakeholders, ensuring clear communication throughout the project lifecycle. 
  • Design Adherence: Oversee the implementation of design intent, ensuring project execution aligns with specifications, contract documents, and quality standards. 
  • Technical Coordination: Urgently manage the flow of technical documentation (including RFIs, submittals, and design deliverables), reviewing for cross-discipline completeness and constructability. 
  • Project Delivery & Risk: Drive project delivery to meet schedule and budget milestones, proactively identifying and mitigating project risks. 
  • Issue Resolution: Lead the resolution of technical and site-specific issues, coordinating between design and construction partners to swiftly address unforeseen conditions or conflicts. 
  • Quality Assurance: Conduct regular site observations and quality reviews to verify progress, identify deficiencies, and ensure reporting accuracy. 
  • Meeting Leadership: Lead and document project coordination meetings to drive decision-making and team alignment. 
  • Change Management: Manage the scope modification process, including the review and negotiation of Change Orders and contract adjustments. 
  • Project Closeout: Oversee the closeout process, ensuring the accurate maintenance of record documents and final deliverables. 
Qualifications

You are passionate about:

  • Working collaboratively with others.
  • Having ownership in the work you do.
  • Using your talents to positively affect communities.

You bring to the team:

  • 6+ years of project experience in the Architecture, Engineering, and Construction industry with increasing responsibility. 
  • 2+ years of experience in industry-related project management or construction management; may be concurrent with project experience. 
  • Excellent communication, organization, time management, attention to detail, and problem-solving. 
  • Knowledge of engineering/design terms, contracts, financials, and operations. 
  • Proven ability to meet client expectations through effective project or construction management. 
  • Strong decision-making, leadership, organization, and negotiation abilities. 
  • Strong conflict management and resolution skills. 
  • Proficiency in MS Office, construction management software, and understanding of construction processes/codes. 

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