ZipRecruiter

Log In

1

Data Annotation Project Manager Jobs in Rochester, MI

NV5

Data Center Commissioning Project Manager

Detroit, MI · On-site

$150K - $170K/yr

NV5 is currently seeking a Project Manager to join our Americas Mission Critical team and service our clients nationally as needs dictate. The successful candidate will be self-motivated and well ...

Omnicom

Project Manager

Birmingham, MI · On-site

Project and Program Management MRM is part of the Omnicom Precision Marketing activation practice ... This practice integrates CRM platform expertise, journey management, and first-party data ...

Omnicom

Project Manager

Birmingham, MI · On-site

Project and Program Management MRM is part of the Omnicom Precision Marketing activation practice ... This practice integrates CRM platform expertise, journey management, and first-party data ...

Omnicom

Project Manager

Birmingham, MI · On-site

Project and Program Management MRM is part of the Omnicom Precision Marketing activation practice ... This practice integrates CRM platform expertise, journey management, and first-party data ...

Omnicom

Project Manager

Birmingham, MI · On-site

Project and Program Management MRM is part of the Omnicom Precision Marketing activation practice ... This practice integrates CRM platform expertise, journey management, and first-party data ...

Omnicom

Project Manager

Birmingham, MI · On-site

Project and Program Management MRM is part of the Omnicom Precision Marketing activation practice ... This practice integrates CRM platform expertise, journey management, and first-party data ...

Omnicom

Project Manager

Birmingham, MI · On-site

Project and Program Management MRM is part of the Omnicom Precision Marketing activation practice ... This practice integrates CRM platform expertise, journey management, and first-party data ...

Omnicom

Project Manager

Birmingham, MI · On-site

Project and Program Management MRM is part of the Omnicom Precision Marketing activation practice ... This practice integrates CRM platform expertise, journey management, and first-party data ...

Omnicom

Project Manager

Birmingham, MI · On-site

Project and Program Management MRM is part of the Omnicom Precision Marketing activation practice ... This practice integrates CRM platform expertise, journey management, and first-party data ...

next page

Showing results 1-20

All JobsData Annotation Project JobsData Annotation Project Manager JobsData Annotation Project Manager Jobs in Rochester, MI

Data Annotation Project Manager information

See Rochester, MI salary details

$15

$52

$73

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

As of Aug 7, 2026, the average hourly pay for data annotation project manager in Rochester, MI is $52.93, according to ZipRecruiter salary data. Most workers in this role earn between $45.82 and $61.97 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 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 job categories do people searching Data Annotation Project Manager jobs in Rochester, MI look for? The top searched job categories for Data Annotation Project Manager jobs in Rochester, MI are:
What cities near Rochester, MI are hiring for Data Annotation Project Manager jobs? Cities near Rochester, MI with the most Data Annotation Project Manager job openings:
Data Annotation Project Manager jobs near you

Senior Robotics Data Collection Engineer - Only W2

Saransh Inc

Warren, MI • On-site

$99K - $135K/yr

Contractor

Re-posted 29 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.