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Intern Ai Data Annotation Jobs in Michigan (NOW HIRING)

Autoliv United States

GenAI Intern

Auburn Hills, MI · On-site

$14.25 - $19/hr

GenAI Intern We're looking for a GenAI Intern to help explore and build innovative AI solutions ... Currently pursuing a degree in CS, AI, Data Science, or related field * Availability to work on ...

Autoliv United States

GenAI Intern

Auburn Hills, MI · On-site

$14.25 - $19/hr

GenAI Intern We're looking for a GenAI Intern to help explore and build innovative AI solutions ... Currently pursuing a degree in CS, AI, Data Science, or related field * Availability to work on ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...

Faurecia

Data Science Intern

Auburn Hills, MI · On-site

FORVIA is looking for a year-round Data Science Intern for its headquarters in Auburn Hills ... Contribute to exploratory AI initiatives, including generative AI use cases. * Document code ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...

Faurecia

Data Science Intern

Auburn Hills, MI

FORVIA is looking for a year-round Data Science Intern for its headquarters in Auburn Hills ... Contribute to exploratory AI initiatives, including generative AI use cases. Document code ...

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Intern Ai Data Annotation information

What does an intern AI data annotation do?

An Intern AI Data Annotation is responsible for labeling and categorizing data, such as images, text, or audio, to help train artificial intelligence models. They ensure data is accurately tagged according to specific guidelines so that AI systems can learn to recognize patterns or make predictions. This role often involves using specialized annotation tools and requires attention to detail to maintain high-quality datasets. Interns may also assist with reviewing and correcting data, as well as collaborating with data scientists and engineers to improve annotation processes.

What are the key skills and qualifications needed to thrive as an intern AI data annotation?

To thrive as an Intern AI Data Annotation Specialist, you need strong attention to detail, basic data handling skills, and familiarity with common data formats, often supported by a background in computer science or related fields. Experience with data labeling tools, annotation platforms, and sometimes basic knowledge of Python or similar scripting languages is typically required. Reliability, patience, and effective communication are essential soft skills for ensuring accuracy and collaborating with team members. These competencies are crucial for generating high-quality annotated datasets that enable accurate machine learning model development.

What does a typical day look like for an intern AI data annotation, and how do they collaborate with other teams?

As an AI Data Annotation Intern, your typical day involves labeling and categorizing data such as images, audio, or text to train machine learning models. You’ll use specialized annotation tools and follow detailed guidelines to ensure consistency and accuracy. Collaboration is key—you’ll often communicate with data scientists, machine learning engineers, and project managers to clarify requirements and provide feedback on ambiguous cases. This teamwork helps ensure the data you annotate aligns with project goals and quality standards, making your contributions vital to the development of AI solutions.

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 Intern Ai Data Annotation jobs in Michigan?

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

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

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

What cities in Michigan are hiring for Intern Ai Data Annotation jobs?

Cities in Michigan with the most Intern Ai Data Annotation job openings:

Intern Ai Data Annotation jobs near you
Infographic showing various Intern Ai Data Annotation job openings in Michigan as of June 2026, with employment types broken down into 97% Full Time, 2% Part Time, and 1% Contract. Highlights an 69% Physical, 3% Hybrid, and 28% Remote job distribution.

Senior Robotics Data Collection Engineer - Only W2

Saransh Inc

Warren, MI • On-site

$99K - $135K/yr

Contractor

Re-posted 24 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.