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Data Annotation Project Manager Jobs in Teaneck, NJ

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

... AI data annotation and collection vendors • Proactively identify, track, and manage risks and ... projects end to end: planning, execution, measurement, and optimization • Collaborate with our ...

AI Finance Expert - Remote

New York, NY · Remote

$93K - $116K/yr

... project at the intersection of finance and artificial intelligence . In this role, you will help ... Data Annotation * Problem-Solving * Independent Research * Attention to Detail Preferred ...

Data Project Manager

New York, NY · Remote

$53 - $71.75/hr

Bachelor's degree in Business, IT, Project Management, or a related field. * 10+ years in IT project management with a focus on Data and Analytics projects. * Prior experience leading end-to-end ...

Project Manager, Data & AI

New York, NY · On-site

$56.50 - $76.50/hr

The Senior Associate, AI PMO is a core member of the Data & AI Program Management Office, responsible for driving the execution rigor behind Ares' Data & AI Strategy. This role owns end-to-end ...

New

Data Center Project Manager

Totowa, NJ · On-site

$122K/yr

Data Center Project Manager Location Totowa Business Area Workplace Operations and Supply Chain Ref # 10052206 Description & Requirements Role: Data Center Construction: Project Manager Business Area:

Data Center Project Manager

Totowa, NJ · On-site

$122K/yr

Data Center Construction: Project Manager Business Area: Critical Infrastructure, Datacenters and Project Management Our Team Bloomberg's Global Infrastructure, Data Center & Workplace Sustainability ...

Experienced in data labelling, annotation, content review, or similar detail-oriented work (2+ year preferred) * A Bachelor's degree holder PROJECT DETAILS * Location: 100% Onsite (Bay Area, Seattle ...

Showing results 21-40

Data Annotation Project Manager information

See Teaneck, NJ salary details

$18

$63

$88

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

As of Aug 18, 2026, the average hourly pay for data annotation project manager in Teaneck, NJ is $63.40, according to ZipRecruiter salary data. Most workers in this role earn between $54.86 and $74.18 per hour, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as a data annotation project manager?

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.

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 are popular job titles related to Data Annotation Project Manager jobs in Teaneck, NJ?

For Data Annotation Project Manager jobs in Teaneck, NJ, the most frequently searched job titles are:

What job categories do people searching Data Annotation Project Manager jobs in Teaneck, NJ look for?

The top searched job categories for Data Annotation Project Manager jobs in Teaneck, NJ are:

What cities near Teaneck, NJ are hiring for Data Annotation Project Manager jobs?

Cities near Teaneck, NJ with the most Data Annotation Project Manager job openings:

Infographic showing various Data Annotation Project Manager job openings in Teaneck, NJ as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $131,866 per year, or $63.4 per hour.

AI/ML Data Contributor

TSMG

New York, NY

Full-time

Re-posted 23 days ago


Job description

Project Overview
We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing.

Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible, task-based role with the opportunity to participate in multiple projects over time.

Responsibilities
  • Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation
  • Participate in remote assignments or attend on-site sessions when required
  • Follow project guidelines and ensure high-quality task completion
  • Provide feedback and input during testing activities
  • Complete tasks within given timelines
Requirements
  • Must be based in the United States
  • Strong attention to detail and ability to follow instructions
  • Basic computer skills and familiarity with digital tools
  • Reliable internet connection and access to a computer or smartphone
  • Availability to participate in task-based work (schedule may vary)
Nice to Have
  • Previous experience in data annotation, QA, or testing
  • Interest in AI, machine learning, or emerging technologies
What We Offer
  • Paid, flexible task-based work
  • Opportunity to work on innovative AI/ML projects
  • Exposure to cutting-edge technologies (including device and VR testing)
  • Potential for ongoing project participation
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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