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Data Annotation Project Manager Jobs in Dearborn, MI

Project Manager

Ann Arbor, MI · On-site

$65K - $75K/yr

Work with PIs, Data Analysts, and other team members to interpret and visualize data for non ... project design, scheduling, personnel and resource management, data collection and analysis ...

Project Manager

Ann Arbor, MI · On-site

$87K - $122K/yr

... data center, and retail industries. As a global leader, Pavion specializes in the design ... Allocate and manage resources to ensure project milestones are met * Client and Stakeholder ...

Project Manager

Ann Arbor, MI · On-site

$87K - $122K/yr

... data center, and retail industries. As a global leader, Pavion specializes in the design ... Allocate and manage resources to ensure project milestones are met * Client and Stakeholder ...

Project Manager .Our Client is seeking experienced (5+ years) Application Project Managers (PMs ... APIs and data exchanges. The customer approach emphasizes strong partnerships with County ...

MRM is a company that creatively engineers total human experiences through the integration of strategy, creative, technology, and data sciences. They are seeking a Project Manager to manage projects ...

MRM is a company that creatively engineers total human experiences through the integration of strategy, creative, technology, and data sciences. They are seeking a Project Manager to manage projects ...

The Project Manager will manage multiple projects and teams to ensure project goals are achieved ... Collect data from customers, suppliers, Bill of Material, and other resources to prepare ...

The Project Manager will manage multiple projects and teams to ensure project goals are achieved ... Collect data from customers, suppliers, Bill of Material, and other resources to prepare ...

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Data Annotation Project Manager information

See Dearborn, MI salary details

$15

$52

$73

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

As of May 30, 2026, the average hourly pay for data annotation project manager in Dearborn, MI is $52.83, according to ZipRecruiter salary data. Most workers in this role earn between $45.72 and $61.83 per hour, depending on experience, location, and employer.

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.

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 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 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 Dearborn, MI? For Data Annotation Project Manager jobs in Dearborn, MI, the most frequently searched job titles are:
What cities near Dearborn, MI are hiring for Data Annotation Project Manager jobs? Cities near Dearborn, MI with the most Data Annotation Project Manager job openings:
Infographic showing various Data Annotation Project Manager job openings in Dearborn, MI as of May 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $109,893 per year, or $52.8 per hour.

Senior Robotics Data Collection Engineer - Only W2

Saransh Inc

Warren, MI • On-site

$99.60K - $135.20K/yr

Contractor

Posted 21 days ago


Job description

Role: Senior Robotics Data Collection Engineer
Location: Warren, MI (Onsite from Day 1)
Job Type: W2 Contract
 
Main Skills: Senior Robotics Data Collection Engineer (MLE, Python, Cloud exp, Linux)
 
Key Responsibilities:
· Collect high-quality robot telemetry, sensor, and visual data from manufacturing robotic systems in lab and production-like environments.
· Operate and monitor robotic systems, GELLO teleop interfaces, and data collection hardware.
· Organize, label, and validate data according to established annotation guidelines and quality standards.
· Perform manual annotation and verification when necessary to generate high-quality ground truth labels.
· Execute data collection campaigns following documented protocols and experimental designs.
· Troubleshoot data collection issues and document problems for engineering teams.
· Collaborate with AI engineers, robotics engineers, and manufacturing teams to ensure data meets model training requirements.
 
Required Qualifications:
· College or bachelor’s degree in engineering (Mechanical Engineering or Electrical Engineering preferred).
· Attention to detail and ability to follow technical procedures and documentation.
· Strong, demonstrated hands-on experience operating, troubleshooting, and maintaining industrial or collaborative robotic arms.
· Proficiency in Linux environments and basic scripting (e.g., Python) to interface with robotic systems and manage data pipelines.
· Proven experience working directly with perception sensors and hardware, with a solid understanding of capturing and validating high-quality sensor data.
 
Preferred Qualifications:
· Experience with robotics, manufacturing, or data collection.
· Familiarity with Python, Linux, or data tools (beneficial but not required).
· Experience operating or troubleshooting technical equipment.
· Basic understanding of machine learning, AI, or data annotation concepts.
· Experience in automotive or manufacturing environments.