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Data Annotation Project Manager Jobs in Colorado

One Tech

Project Manager

Denver, CO

$81K - $86K/yr

Run reporting and data tracking for leadership. Requirements of the Project Manager: 2+ years of business support, project coordination, administrative, purchasing, utility, or related experience.

One Tech Engineering

Project Manager

Denver, CO

Run reporting and data tracking for leadership. Requirements of the Project Manager: * 2+ years of business support, project coordination, administrative, purchasing, utility, or related experience.

ABB

Data Center COE Project Manager

Denver, CO · Remote

$123K/yr

... project manager with paralleling switchgear, protection and control systems, electrical energy management systems, or electrical field services in the data center or power generation/distribution ...

Saicon Consultants

Project Manager

Golden, CO · On-site

Project Management, Data Analysis, Contract Negotiation, Proposal Writing, MS Office JOB SUMMARY: For now this is a temporary full time 4 month assignment with possibility for extension. Only local ...

MasTec Utility Services

Project Manager

Franktown, CO · On-site

Manage day-to-day construction activities (partnered with Construction Manager), including budgeting, scheduling, and progress tracking, using KPIs to make data driven decisions. Verify project ...

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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.
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Data Annotation Project Manager jobs near you
Project Manager - Data Migration Delivery

Project Manager - Data Migration Delivery

Kforce Technology Staffing

Englewood, CO • On-site

$120K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago

Job description

RESPONSIBILITIES:
Kforce has a client in Englewood, CO that is seeking a Project Manager - Data Migration Delivery.
Summary:
In this role, the Project Manager owns the integrated delivery plan, RAID log, dependency management, and reporting across all migration waves. This role serves as the operational backbone of the program, ensuring sprint cadence, cross-stream coordination, and client-facing delivery transparency.
Key Responsibilities:
* Own and maintain the integrated program plan across all delivery waves
* Manage the RAID log, ensuring timely escalation and resolution of blockers and dependencies
* Drive sprint planning, velocity tracking, and two-week delivery cadence
* Produce weekly and monthly reporting covering risks, KPIs, burn-down, and milestone status
* Coordinate client-facing delivery activities including Sprint Reviews and milestone gate preparation
* Manage JIRA backlog, story tracking, and cross-stream dependency alignment
* Support Product Owner engagement and story acceptance processes
REQUIREMENTS:
* PMP or equivalent certification preferred
* 10+ years of project management experience in data engineering, analytics, or cloud programs
* Strong Agile delivery background with experience running blended onshore/offshore teams
* Proven ability to manage integrated plans across multiple concurrent workstreams
* Experience with JIRA and Confluence required; familiarity with enterprise data platforms preferred
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.

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