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Data Annotation Project Manager Jobs in New York

Position Summary The Data Center Project Manager (M&E) is responsible for the end-to-end delivery of mechanical, electrical, and technology-infrastructure construction projects within the firm ...

Human Data Architect, Quality

New York, NY · On-site

$130K - $160K/yr

This is a standards-and-methodology architecture role, not a QA-management role . You set the ... Who You Are Required Background * 5+ years working at the intersection of ML and data - annotation ...

Data Center Project Manager

Somerset, NJ · On-site

$127K/yr

Job Title- Data Center Project Manager Project Location - Hybrid in Somerset, New Jersey Duration- 12+ months contract Visa- USC/ GC Interview- F2F Need local with Banking exp Position Description ...

Data annotation and quality review * Exploratory data analysis and model fail state analysis ... Work with Product Manager(s) to intake project/product requirements and translate these to ...

Data annotation and quality review * Exploratory data analysis and model fail state analysis ... Work with Product Manager(s) to intake project/product requirements and translate these to ...

Design and manage data pipelines from customer specification to final delivery, with full ... Own quality control across the annotation lifecycle: set the bar, measure against it, and close the ...

Showing results 41-60

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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Infographic showing various Data Annotation Project Manager job openings in New York as of July 2026, with employment types broken down into 67% Full Time, and 33% Temporary. Highlights an 33% In-person, and 67% Remote job distribution.

Data Center Project Manager

Zealogics.com

Somerset, NJ • On-site

$50 - $55/hr

Contractor

Posted 20 days ago


Job description

Position Summary
The Data Center Project Manager (M&E) is responsible for the end-to-end delivery of mechanical, electrical, and technology-infrastructure construction projects within the firm's enterprise data centers. This role manages full project lifecycle execution including scope definition, design coordination, vendor oversight, financial management, commissioning support, and handover to operations. The position ensures all assigned projects meet performance, compliance, safety, and operational readiness requirements.
Sites within the NY/NJ area will be undergoing refresh of the existing mechanical and electrical infrastructure. The goal of this role is to provide owner related project management functions working with operations teams, construction vendors and their respective project managers, engineering, and commissioning service providers.
Key Responsibilities
• Serve as primary project lead for all assigned mechanical, electrical, and critical-infrastructure CAPEX initiatives.
• Develop and maintain project scope documents, schedules, budgets, risk registers, status reporting, and financial updates for stakeholders.
• Execute procurement activities including RFP development, bid evaluation, vendor selection, and contract negotiation.
• Coordinate with internal engineering, data center operations, MEP consultants, and third-party service providers to ensure alignment with EDC standards and governance.
• Oversee installation, testing, and commissioning activities for HVAC, UPS, generators, PDUs, controls, fire/life safety systems, and other mechanical/electrical components.
• Manage project CAPEX budget and assist with vendor payment generation as required.
• Ensure adherence to regulatory requirements, safety protocols, and industry standards, including support for SLA/KPI commitments.
• Maintain project documentation, status tracking, change-management processes, and required meeting cadence.
• Support sustainability and certification goals (LEED, WELL, WiredScore, SmartScore) through project design and execution on a per project basis.
• Partner with data center operations teams to ensure seamless handover into steady-state operations.
Qualifications
• Bachelor's degree in Mechanical Engineering, Electrical Engineering, or a related technical field preferred.
• 5-10+ years of experience managing MEP or mission-critical construction projects within data centers or a similar environment required.
• Experience with financial firms is preferred as it relates to the critical nature of refreshing equipment in a live financial data center environment is preferred.
• This is a MEP role and not telecom or application/software development.
• Strong knowledge of critical facility systems including HVAC, UPS, generators, PDUs, controls, and commissioning processes.
• Proven ability to lead cross-functional teams, manage vendors, and oversee large-scale project budgets.
• Strong communication skills with the ability to manage stakeholder expectations and produce accurate documentation.
• Ability to work in dynamic, fast-paced environments while maintaining safety, quality, and governance standards.
Rate range -$50-$55