1

Manager Ai Annotation Jobs in Michigan (NOW HIRING)

Autocad Tutor

Kalamazoo, MI · Remote

$25 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... annotation, and file management. Ability to explain coordinate systems, object properties, viewport ...

Autocad Tutor

Detroit, MI · Remote

$25 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... annotation, and file management. Ability to explain coordinate systems, object properties, viewport ...

Autocad Tutor

Ann Arbor, MI · Remote

$25 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... annotation, and file management. Ability to explain coordinate systems, object properties, viewport ...

TACHS Tutor

Detroit, MI · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Skilled at teaching reading passage annotation, grammar rule application, and mental math ...

TACHS Tutor

Ann Arbor, MI · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Skilled at teaching reading passage annotation, grammar rule application, and mental math ...

TACHS Tutor

Kalamazoo, MI · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Skilled at teaching reading passage annotation, grammar rule application, and mental math ...

Manager Ai Annotation information

What is the difference between Manager Ai Annotation vs Data Annotator?

AspectManager Ai AnnotationData Annotator
Required CredentialsBachelor's degree in related field, experience in AI projectsHigh school diploma or equivalent, on-the-job training
Work EnvironmentTeam management, project oversight, collaboration with data scientistsData labeling tasks, working with annotation tools
Industry UsageAI development, machine learning projectsData preparation for AI models
Search & Comparison IntentUnderstanding managerial roles in AI annotationEntry-level annotation tasks

The main difference between Manager Ai Annotation and Data Annotator lies in their responsibilities and experience. Managers oversee annotation projects, coordinate teams, and ensure quality, requiring leadership skills and experience. Data Annotators focus on labeling data accurately under supervision. Managers typically have higher credentials and work in strategic roles, while annotators perform the hands-on labeling tasks essential for AI training.

What are the most commonly searched types of Ai Annotation jobs in Michigan?

The most popular types of Ai Annotation jobs in Michigan are:

What are popular job titles related to Manager Ai Annotation jobs in Michigan?

For Manager Ai Annotation jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Manager Ai Annotation jobs in Michigan look for?

The top searched job categories for Manager Ai Annotation jobs in Michigan are:

What cities in Michigan are hiring for Manager Ai Annotation jobs?

Cities in Michigan with the most Manager Ai Annotation job openings:

Senior Robotics Data Collection Engineer - Only W2

Warren, MI • On-site

$99K - $135K/yr

Contractor

Re-posted 18 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.