ZipRecruiter

Log In

1

Data Annotation Project Manager Jobs in Bridgeton, NJ

TA Companies

Project Manager

Vineland, NJ

Description About Data One Construction Data One Construction specializes in mission-critical data ... Manage electrical construction projects from start to finish, ensuring on-time and on-budget ...

New

Mwe

Project Manager

Wilmington, DE · On-site

The Project Manager leads enterprise-wide initiatives that modernize the firm's technology ... Experience managing enterprise integrations, APIs, data flows, cloud-based platforms, and ...

Group PMX

Associate Project Manager

Wilmington, DE

$105K - $120K/yr

Support the use and maintenance of project management information systems (PMIS), ensuring data integrity and timely updates Qualifications * Bachelor's degree in Business, Construction Management ...

DataOne Construction

Be Seen First

Electrical Project Manager

Vineland, NJ · On-site

$90K - $125K/yr

Electrical Project Manager Join Our Growing Team We are seeking an experienced Electrical Project ... Specializing in data center construction, our projects are fast-paced, high-impact, and essential ...

Group PMX

Associate Project Manager

Wilmington, DE · On-site

$105K - $120K/yr

Support the use and maintenance of project management information systems (PMIS), ensuring data integrity and timely updates Qualifications * Bachelor's degree in Business, Construction Management ...

Wallbox

Customer Project Manager Spain

Hancocks Bridge, NJ · Hybrid

$81K - $104K/yr

... like Data Centers. Actuating as a resilient, trusted partner, the CPM ensures high customer ... Track project milestones, manage risks, and ensure deliverables meet quality and timing objectives.

next page

Showing results 1-20

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

Data Annotation Project Manager information

See Bridgeton, NJ salary details

$16

$56

$79

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

As of Jul 28, 2026, the average hourly pay for data annotation project manager in Bridgeton, NJ is $56.98, according to ZipRecruiter salary data. Most workers in this role earn between $49.28 and $66.68 per hour, depending on experience, location, and employer.

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.
What job categories do people searching Data Annotation Project Manager jobs in Bridgeton, NJ look for? The top searched job categories for Data Annotation Project Manager jobs in Bridgeton, NJ are:
What cities near Bridgeton, NJ are hiring for Data Annotation Project Manager jobs? Cities near Bridgeton, 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 Bridgeton, NJ as of June 2026, with employment types broken down into 67% Full Time, 30% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $118,508 per year, or $57 per hour.

Data Domain Architect Lead

JPMorganChase

Wilmington, DE • On-site

Full-time

Posted 24 days ago

Job description

Job Summary:
JPMorganChase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals. As a Data Domain Architect Lead, you will manage a team to develop machine learning solutions through data annotation, curation, and validation while collaborating with other teams to optimize training data for machine learning models.
Responsibilities:
• Manage and coach a team of Machine Learning Data Domain analysts to support data annotation and label data/content using annotation tools and analysis
• Partner with leads in Data Science, Engineering, and Analytics to develop strategies to optimize training data for machine learning models
• Lead efforts to identify patterns and trends in conversational data through Natural Language Processing and/or other computational linguistic approaches
• Collaborate with stakeholders on evaluating the quality of machine learning classification and other output
• Actively contribute to the team’s continuous learning mindset by bringing in new ideas and perspectives that stretch the thinking of the group
Qualifications:
Required:
• 6+ years of related experience in development of machine learning solutions
• Familiar with industry annotation and labeling methods
• Experience with various data modeling techniques and tools
• Familiar with Finance and Banking products
• Broad expertise in data technologies; i.e., data warehousing, data processing, data quality concepts, Business Intelligence tools and analytical tools, unstructured data, machine learning
• Excellent analytical and problem-solving skills and the ability to pay close attention to detail
• Experience using Python in working with and analyzing large real-world datasets
• Working knowledge of information and data retrieval
• Working knowledge of machine learning and artificial intelligence paradigms and libraries
• Familiar with Large Language Models (LLMs) and prompt engineering
Preferred:
• Masters or PhD in a related field, or Bachelors
• Technical understanding of common relational database systems; i.e., Teradata and Oracle
• Excellent command of the Structured Query Language (SQL)
• Knowledge of SAS or Scala, and Python languages
• Knowledge of Advanced Statistics
• Advanced analytical thinking and problem-solving skills
• Strong interpersonal & communication skills
Company:
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. Founded in 2000, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

Apply