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Data Annotation Project Manager Jobs in Teaneck, NJ

Lead Data Scientist

Manhattan, NY ยท 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 ...

Human Data Architect, Quality

New York, NY ยท 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 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 ...

AI Consulting Expert - Remote

New York, NY ยท Remote

$100 - $200/hr

Data Annotation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail ... management consulting, corporate strategy, business transformation, or operations. * Experience ...

Showing results 41-60

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.

Data Science and Engineering Manager

Child Mind Institute

Manhattan, NY โ€ข On-site

$185K - $225K/yr

Full-time

Medical, Retirement

Re-posted 14 days ago


Job description

About Child Mind Institute

We're dedicated to transforming the lives of children and families struggling with mental health and learning disorders by giving them the help they need. We've become the leading independent nonprofit in children's mental health by providing gold-standard evidence-based care, delivering educational resources to millions of families each year, training educators in underserved communities, and developing tomorrow's breakthrough treatments.

Position Details:

As part of the Center for Data Analytics, Innovation, and Rigor team, you will report to Director, Center for DAIR. You will lead the coordination and execution of complex, large-scale AI research initiatives in mental health contexts. You will manage a team of approximately 10 data scientists and software engineers and collaborate closely with the Clinical Project Manager and project leadership, ensuring seamless collaboration and timely delivery of project milestones. You will oversee project planning, resource allocation, risk management, and stakeholder communication, using common project management tools and methodologies. This role requires strong project management expertise, technical fluency to communicate effectively with the engineering teams that will report to you, and the ability to navigate complex research environments while maintaining alignment with project objectives and organizational goals.


This is a full-time, exempt position. A hybrid schedule will be required for employees based in the New York Tri-State area or California Bay Area, with a minimum of four (4) days per week in the office, on a schedule determined by your supervisor. Remote positions will be considered for candidates located outside of these regions . The in-office requirement and schedule are subject to change based on the needs of the program and the organization.

Please note: We are not currently able to employ individuals residing in Ohio, North Dakota, Washington, or Wyoming.

You Will:

  • Work with team members across management, multiple engineering teams, clinical researchers, and stakeholders to develop project plans, timelines, milestones, resource requirements and deliverables, all in alignment with the overall mission of the project and organization.
  • Guide the team through the entire product development lifecycle, from road mapping and requirements gathering, through prioritization and scoping (OKRs), delivery of designs, and project management of engineering execution.
  • Coordinate cross-functional teams including data scientists, AI engineers, software developers, clinical researchers, and external collaborators to ensure efficient workflow and communication.
  • Achieve consensus around product vision and priorities across product research, design, engineering, and data science along with our leadership team.
  • Monitor project progress, identify risks and bottlenecks, and implement mitigation strategies to keep projects on track and within budget.
  • Help design and implement clinical validation and quality assurance testing for data generation, annotation workflows, and software development to ensure scientific rigor and reproducibility.
  • Ensure data quality, security, and compliance with privacy regulations for handling sensitive data.

You Have:

  • Master’s in Neuroscience, Psychology, Engineering, Computer Science or equivalent combination of education and experience is required.
  • 8+ years experience in technical project management for software development, data science, or AI/ML research projects.
  • 8+ years of experience working regularly with software development lifecycle, data engineering, machine learning, or cloud computing concepts.
  • 5+ years of practical experience with project management tools and methodologies (e.g., Notion, Jira, Kanban).
  • 5+ years of experience in data analysis and data science fundamentals (e.g., algorithms, data structures, data visualization, machine learning).
  • 5+ years of experience in at least one scientific programming language (e.g., Python/R, Matlab) and related toolboxes or frameworks (e.g., Tidyverse, Scipy, Sklearn, Polars, Pytorch) is required.
  • Demonstrated experience managing complex, multi-phase projects in software development environments with multiple stakeholders and competing priorities.

#LI-hybrid #LI-remote

Our Benefits

Our great compensation package and benefits include medical insurance, 401(k), paid parental leave, dependent care, flexible work schedules, discounted tickets and entertainment perks programs. For more information about our benefits, please visit our employee benefits website.

Pay Range

The salary range for the position is posted. Factors such as candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations affect the salary offered within this range. In addition, this salary may be subject to a geographic adjustment (according to a specific city and state and depending on the role), if an authorization is granted to work outside of the location listed in this posting.

EEO Disclaimer

Child Mind Institute is committed to fostering an inclusive and equitable workplace where all individuals are treated with respect and dignity. We are proud to be an equal opportunity employer and prohibit discrimination and harassment of any kind.

We provide equal employment opportunities to all employees and applicants for employment, regardless of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender identity, gender expression, age, national origin, ancestry, citizenship status, marital status, military or veteran status, physical or mental disability, genetic information, medical condition, or any other characteristic protected by applicable federal, state, or local laws.

In compliance with California law, we also prohibit discrimination based on reproductive health decision-making, status as a victim of domestic violence, sexual assault, or stalking, or any other category protected by the California Fair Employment and Housing Act (FEHA). In New York, we extend this prohibition to include status as a victim of domestic violence, familial status, or any other characteristic protected by the New York State Human Rights Law (NYSHRL).

Child Mind Institute is dedicated to ensuring accessibility and reasonable accommodations for individuals with disabilities or medical conditions. If you require an accommodation to participate in the application process or perform your job, please contact our HR Department at hr@childmind.org

This policy applies to all aspects of employment, including recruitment, hiring, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, benefits, and training.