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Data Annotation Project Manager Jobs in Teaneck, NJ

YO AI Labs

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 ...

1 point system

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 ...

Welo Data

Data Labeling Associate

New York, NY

$34/hr

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 ...

Aston Carter

Paralegal

Manhattan, NY · On-site

$125/hr

This is a fully remote, project-based consulting engagement with flexible scheduling and a weekly ... Comfort working with AI tools, AI training workflows, data annotation, and large language models ...

Aston Carter

Paralegal (100% Remote)

Manhattan, NY · On-site +1

$75/hr

This is a fully remote, project-based consulting engagement with flexible scheduling and a weekly ... Comfort working with AI tools, AI training workflows, data annotation, and large language models ...

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All JobsData Annotation Project JobsData Annotation Project Manager JobsData Annotation Project Manager Jobs in Teaneck, NJ

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 Sep 7, 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 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:

Data Annotation Project Manager jobs near you
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.

Freelance Annotator (English) - AI Trainer

Mindrift - Data annotation

New York, NY • Remote

$20/hr

Part-time

Re-posted 21 days ago

Job description

Please submit your resume in English and indicate your level of English proficiency.

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.

What this opportunity involves

Annotation is what helps AI make sense of the world. As an annotator, you may be invited to take part in online projects such as rating AI-generated content, evaluating factual accuracy, or comparing responses - when projects are available.

While each project involves unique tasks, contributors may:

  • Carefully review provided data (text, images, or videos);
  • Label or classify content based on project guidelines;
  • Identify and flag factually incorrect, sensitive, inappropriate, or unclear material.

What we look for

This opportunity is a good fit for candidates open to part-time, non-permanent projects. Ideally, contributors will have:

  • Bachelor's degree in any discipline;
  • Minimum 1 year of experience in any professional role;
  • Logical thinking, fact-checking and reasoning abilities;
  • Strong attention to detail and ability to understand and follow complex instructions;
  • Strong communication skills, including the ability to ask clarifying questions when needed;
  • Genuine interest in technology and artificial intelligence;
  • Strong written and spoken English (C1+).

How it works 

Apply Pass qualification(s)  Join a project (when available) Complete tasks Get paid

Why this freelance opportunity might be a great fit for you

  • Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments;
  • Participate into advanced AI projects and gain valuable experience that enhances your portfolio;
  • Influence how future AI models understand and communicate in your field of expertise.

Project time expectations

For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.

Compensation

Paid per accepted task. Your rate depends on the qualification tier you reach and how efficiently you complete tasks - up to the equivalent of $20/hr. Because payment is per task, a faster pace raises your effective hourly rate. Keep in mind, quality standards must be maintained, regardless of speed.

Apply