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Data Annotation Program Manager Jobs in Royal Oak, MI

The ideal candidate will bring deep expertise in Data, Databricks, and AI initiatives , along with ... Lead and manage large-scale data and AI programs from initiation to delivery. * Act as a bridge ...

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This practice integrates CRM platform expertise, journey management, and first-party data ... The Program Manager will establish scalable processes and governance for a growing account ...

This practice integrates CRM platform expertise, journey management, and first-party data ... The Program Manager will establish scalable processes and governance for a growing account ...

As a Program Manager, you will: * Manage business aspects of multiple concurrent programs and ... Collect data from customers, suppliers, Bill of Material, and other resources to prepare ...

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

Change control management- financial and document/data.Reporting of project issues, constraints ... Program Management work experience5-10 years' manufacturing management experienceMust have ...

As a Program Manager, you will: * Manage business aspects of multiple concurrent programs and ... Collect data from customers, suppliers, Bill of Material, and other resources to prepare ...

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

As a Program Manager, you will: * Manage business aspects of multiple concurrent programs and ... Collect data from customers, suppliers, Bill of Material, and other resources to prepare ...

The Program Manager will oversee multiple programs and teams, guiding projects from initial quote ... Collect data from customers, suppliers, Bill of Material, and other resources to prepare ...

The Program Manager will oversee multiple programs and teams, guiding projects from initial quote ... Collect data from customers, suppliers, Bill of Material, and other resources to prepare ...

Engineering degree/diplomaExcellent verbal and written communication skillsExperience in computer systems (MSOffice, Project, Windows, Macros and Data base)5 years program management and 5 years ...

Experience in computer systems (MSOffice, Project, Windows, Macros and Data base) * 5 years program ... management and 5 years engineering experience in an automotive environment. * Experience with ...

The Program Manager (PM) will lead the implementation and operations of a residential energy ... Ability to analyze, interpret and synthesize data and information along with strong computer skills ...

Experience in computer systems (MSOffice, Project, Windows, Macros and Data base) * 5 years program ... management and 5 years engineering experience in an automotive environment. * Experience with ...

The Program Manager will oversee multiple programs and teams, guiding projects from initial quote ... Collect data from customers, suppliers, Bill of Material, and other resources to prepare ...

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Data Annotation Program Manager information

See Royal Oak, MI salary details

$29K

$90.8K

$160.7K

How much do data annotation program manager jobs pay per year?

As of Aug 27, 2026, the average yearly pay for data annotation program manager in Royal Oak, MI is $90,770.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $117,300.00 per year, depending on experience, location, and employer.

What is a data annotation program manager?

Data Annotation Program Managers are professionals who oversee and coordinate data labeling projects, ensuring that data used for machine learning and artificial intelligence is accurately tagged and prepared. They manage teams of annotators, set project guidelines, monitor quality, and ensure deadlines are met. Their role is crucial for building high-quality datasets that enable reliable AI model training. Program Managers often collaborate with data scientists, engineers, and stakeholders to define requirements and improve annotation processes.

How does a data annotation program manager coordinate with cross-functional teams to ensure project success?

A Data Annotation Program Manager regularly collaborates with engineering, data science, and quality assurance teams to align annotation guidelines, project timelines, and quality standards. They often facilitate meetings to clarify requirements, resolve ambiguities in data labeling, and provide feedback on annotation accuracy. This role serves as a bridge between technical teams and annotation staff, ensuring open communication and timely resolution of challenges, which is critical for delivering high-quality datasets essential for machine learning and AI projects.

What are the key skills and qualifications needed to thrive as a data annotation program manager, and why are they important?

To thrive as a Data Annotation Program Manager, you need expertise in project management, data quality assessment, and a solid understanding of machine learning or data annotation processes, typically supported by a relevant degree. Familiarity with annotation platforms, workflow management tools, and data labeling software is essential, along with knowledge of quality assurance frameworks. Strong leadership, problem-solving abilities, and effective communication are crucial soft skills that help manage diverse teams and ensure stakeholder alignment. These skills are important to maintain high data quality, meet project deadlines, and drive successful AI model training initiatives.

What job categories do people searching Data Annotation Program Manager jobs in Royal Oak, MI look for?

The top searched job categories for Data Annotation Program Manager jobs in Royal Oak, MI are:

What cities near Royal Oak, MI are hiring for Data Annotation Program Manager jobs?

Cities near Royal Oak, MI with the most Data Annotation Program Manager job openings:

Senior Robotics Data Collection Engineer - Only W2

Saransh Inc

Warren, MI • On-site

$99K - $135K/yr

Contractor

Re-posted 19 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.