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Data Annotation Project Manager Jobs in New York

Aquent

Senior AI Data Operations Analyst

Manhattan, NY · On-site +1

$47 - $51/hr

In this hands-on, highly collaborative position, you will be a key driver of data quality and annotation strategy, bridging critical gaps between product managers, data scientists, and engineers.

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 ...

New

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 ...

Sogeti

Data Project Manager

New Brunswick, NJ · On-site

$53.50 - $72.25/hr

Details What you will do at Sogeti: • Support the Program Manager by leading the Data Governance/Quality workstream for an HR data platform engagement • Manage project timelines, risks ...

blueStone

Big Data - Project Manager

Stamford, CT

$55.25 - $74.75/hr

Providing project management support to IT management for data foundation work stream * Managing and guiding a team to carry out detail project management activities effectively on a day to day ...

Bloomberg LP

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:

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 ...

Zealogics.com

Data Center Project Manager

Somerset, NJ · On-site

$50 - $55/hr

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 ...

Smarsh

Lead Data Scientist

Manhattan, NY · On-site

$166 - $214/hr

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 ...

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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 are met, often requiring familiarity with annotation tools and project management skills.

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 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 popular job titles related to Data Annotation Project Manager jobs in New York? For Data Annotation Project Manager jobs in New York, the most frequently searched job titles are:
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Data Annotation Project Manager jobs near you
Infographic showing various Data Annotation Project Manager job openings in New York as of August 2026, with employment types broken down into 67% Full Time, and 33% Temporary. Highlights an 33% In-person, and 67% Remote job distribution.

AI Trainer - Freelance Data Annotator

Mindrift - Data annotation

New York, NY • Remote

$23/hr

Part-time

Posted 22 days ago

Job description

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

At Toloka, we connect smart, curious people from around the world with freelance online tasks that train and improve artificial intelligence.

What we do

The Toloka Annotators connects individuals with Generative AI projects from leading tech innovators. Our mission is to unlock the full potential of AI by involving real people from around the world in the development process.

About the Role

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.

Responsibilities:

  • 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

Important note: This is project-based work. Tasks are available only when projects are active. You may be invited to one or more projects depending on your profile and current opportunities.

Each project has its own compensation level based on scope and expertise required. On this project, AI trainers earn up to $23 per hour equivalent.

Requirements

  • Bachelor's degree in any discipline
  • Minimum 1 year of experience in any professional role
  • Advanced level of English (C1 or higher), both written and spoken
  • 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

Benefits

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.
  • Work on advanced AI projects and gain valuable experience that enhances your portfolio.
  • Influence how future AI models understand and communicate in your field of expertise.

Apply