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Overnight Ai Data Annotation Jobs in Michigan (NOW HIRING)

Document experimental findings and processes with a focus on clarity for AI training data ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Document experimental findings and processes with a focus on clarity for AI training data ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Document experimental findings and processes with a focus on clarity for AI training data ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Document experimental findings and processes with a focus on clarity for AI training data ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Senior Robotics Data Engineer - Only W2

Warren, MI · On-site

$99K - $135K/yr

... AI. · Familiarity with robotics simulation platforms (e.g., Isaac Sim) and synthetic data generation. · Experience with data labeling tools and annotation workflows at scale. · Hands-on knowledge ...

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Overnight Ai Data Annotation information

What is the difference between Overnight Ai Data Annotation vs Data Labeler?

AspectOvernight Ai Data AnnotationData Labeler
CredentialsHigh school diploma or equivalent; some roles may require basic technical skillsHigh school diploma or equivalent; no specialized certifications typically needed
Work EnvironmentRemote or on-site; flexible hours, often overnight shiftsRemote or on-site; flexible or daytime shifts
Industry UsageAI and machine learning companies, tech firmsTech companies, data services, AI projects
Search & Comparison IntentCommonly compared for roles involving data annotation tasksOften compared as a related data labeling role

Overnight Ai Data Annotation involves labeling data for AI models, often requiring some technical understanding, while Data Labeler is a broader term for similar tasks. Both roles are essential in AI development, but Overnight Ai Data Annotation typically emphasizes overnight shifts and may involve more specialized tools.

What are the most commonly searched types of Ai Data Annotation jobs in Michigan? The most popular types of Ai Data Annotation jobs in Michigan are:
What are popular job titles related to Overnight Ai Data Annotation jobs in Michigan? For Overnight Ai Data Annotation jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Overnight Ai Data Annotation jobs in Michigan look for? The top searched job categories for Overnight Ai Data Annotation jobs in Michigan are:
What cities in Michigan are hiring for Overnight Ai Data Annotation jobs? Cities in Michigan with the most Overnight Ai Data Annotation job openings:

Senior Robotics Data Collection Engineer - Only W2

Saransh Inc

Warren, MI • On-site

$99K - $135K/yr

Contractor

Re-posted yesterday


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.