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Internship Ai Data Labeling Jobs in Michigan (NOW HIRING)

micro1 AI

AI Data Collector (Motion & Video)

Dearborn, MI · Remote

$13 - $15/hr

Data-Video Generalist Job Type: Contractor Location: Remote - experts based in Alabama, Arkansas ... Follow detailed technical protocols to ensure all submissions meet strict quality, labeling, and ...

micro1 AI

AI Data Collector (Motion & Video)

Lansing, MI · Remote

$13 - $15/hr

Data-Video Generalist Job Type: Contractor Location: Remote - experts based in Alabama, Arkansas ... Follow detailed technical protocols to ensure all submissions meet strict quality, labeling, and ...

micro1 AI

AI Data Collector (Motion & Video)

Detroit, MI · Remote

$13 - $15/hr

Data-Video Generalist Job Type: Contractor Location: Remote - experts based in Alabama, Arkansas ... Follow detailed technical protocols to ensure all submissions meet strict quality, labeling, and ...

micro1 AI

AI Data Collector (Motion & Video)

Warren, MI · Remote

$13 - $15/hr

Data-Video Generalist Job Type: Contractor Location: Remote - experts based in Alabama, Arkansas ... Follow detailed technical protocols to ensure all submissions meet strict quality, labeling, and ...

Saransh Inc

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 ...

micro1 AI

AI Sensor Data Specialist - Remote

Dearborn, MI · Remote

$13 - $15/hr

Data-Video Generalist Job Type: Contractor Location: Remote - experts based in Alabama, Arkansas ... Follow detailed technical protocols to ensure all submissions meet strict quality, labeling, and ...

micro1 AI

AI Sensor Data Specialist - Remote

Lansing, MI · Remote

$13 - $15/hr

Data-Video Generalist Job Type: Contractor Location: Remote - experts based in Alabama, Arkansas ... Follow detailed technical protocols to ensure all submissions meet strict quality, labeling, and ...

micro1 AI

AI Sensor Data Specialist - Remote

Warren, MI · Remote

$13 - $15/hr

Data-Video Generalist Job Type: Contractor Location: Remote - experts based in Alabama, Arkansas ... Follow detailed technical protocols to ensure all submissions meet strict quality, labeling, and ...

micro1 AI

AI Sensor Data Specialist - Remote

Detroit, MI · Remote

$13 - $15/hr

Data-Video Generalist Job Type: Contractor Location: Remote - experts based in Alabama, Arkansas ... Follow detailed technical protocols to ensure all submissions meet strict quality, labeling, and ...

Autoliv United States

GenAI Intern

Auburn Hills, MI

$14.25 - $19/hr

Currently pursuing a degree in CS, AI, Data Science, or related field * Availability to work on site 4 days a week, part time * Availability to complete a 1 year internship * Basic Python or ...

Autoliv United States

GenAI Intern

Auburn Hills, MI · On-site

$14.25 - $19/hr

Currently pursuing a degree in CS, AI, Data Science, or related field * Availability to work on site 4 days a week, part time * Availability to complete a 1 year internship * Basic Python or ...

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Internship Ai Data Labeling information

What is the difference between Internship Ai Data Labeling vs Data Annotation Specialist?

AspectInternship Ai Data LabelingData Annotation Specialist
Required CredentialsHigh school diploma or equivalent; some technical skillsHigh school diploma or higher; technical skills often preferred
Work EnvironmentEntry-level, training-focused, often remote or in-officeProfessional setting, may be remote or on-site, more independent
Employer & Industry UsageTech companies, AI startups, research projectsAI companies, data service providers, tech firms
Search & Comparison IntentUnderstanding entry-level roles in AI data labelingClarifying professional data annotation roles

Internship Ai Data Labeling typically refers to entry-level, training-focused positions aimed at gaining experience in labeling data for AI models. Data Annotation Specialist is a more experienced, professional role involving detailed data labeling tasks. Both roles are essential in AI development, but internships are designed for beginners, while specialists have more responsibility and expertise.

What is an AI Data Labeling Internship?

An AI Data Labeling Internship is a temporary position where interns assist in preparing datasets for machine learning models by accurately annotating, categorizing, or tagging data such as images, text, or audio. Interns learn about the fundamentals of artificial intelligence and the importance of high-quality labeled data in training algorithms. This role is ideal for students or recent graduates interested in AI, data science, or related fields, and provides hands-on experience with data preparation and quality assurance processes.

What are some common challenges faced during an AI Data Labeling internship, and how can I overcome them?

As an AI Data Labeling intern, you may encounter challenges such as maintaining high accuracy while labeling large volumes of data, understanding complex labeling guidelines, and managing repetitive tasks without losing focus. To overcome these, it's helpful to regularly review the instructions, seek feedback from your team lead, and use productivity techniques to stay engaged. Collaborating with other interns and attending team meetings can also provide valuable insights and help you address uncertainties quickly.

What are the key skills and qualifications needed to thrive as an AI Data Labeling Intern, and why are they important?

To thrive as an AI Data Labeling Intern, you need attention to detail, basic data analysis skills, and familiarity with data annotation concepts, often supported by a background in computer science or related fields. Experience using annotation platforms, spreadsheets, and sometimes specific labeling software is common, though formal certifications are not usually required. Strong communication, time management, and the ability to follow detailed guidelines set high performers apart in this role. These skills ensure accurate, high-quality data sets that are essential for training reliable AI models.
What are the most commonly searched types of Ai Data Labeling jobs in Michigan? The most popular types of Ai Data Labeling jobs in Michigan are:
What are popular job titles related to Internship Ai Data Labeling jobs in Michigan? For Internship Ai Data Labeling jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Internship Ai Data Labeling jobs in Michigan look for? The top searched job categories for Internship Ai Data Labeling jobs in Michigan are:
What cities in Michigan are hiring for Internship Ai Data Labeling jobs? Cities in Michigan with the most Internship Ai Data Labeling job openings:
Internship Ai Data Labeling jobs near you

AI Data Collector (Motion & Video)

micro1 AI

Dearborn, MI • Remote

$13 - $15/hr

Part-time

Re-posted 6 days ago

Job description

Job Title: Data-Video Generalist


Job Type: Contractor


Location: Remote - experts based in Alabama, Arkansas, Georgia, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Mississippi, Montana, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Utah, Virginia, West Virginia, and Wisconsin.


Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Key Responsibilities:

  1. Capture precise motion data using your smartphone during specified physical tasks.
  2. Supported devices include the iPhone 12 and later, Google Pixel 6 and later, and Samsung Galaxy S21 and later.
  3. Record synchronized video footage to validate and enhance the integrity of collected sensor data.
  4. Follow detailed technical protocols to ensure all submissions meet strict quality, labeling, and determinism standards.
  5. Consistently contribute a minimum of 10 hours of approved video data per week throughout the project duration.
  6. Communicate effectively with the team to clarify guidelines and provide feedback on data collection processes.
  7. Ensure timely and reliable delivery of data outputs in accordance with project milestones.
  8. Participate in required device compatibility checks and a custom AI-enabled interview process.


Required Skills and Qualifications:

  1. Access to a head strap to be able to record both hands within 48 hours of the start date.
  2. Demonstrated adherence to standardized protocols and rigorous technical instructions.
  3. Proven ability to manage and deliver reliable output in a fast-paced, data-driven environment.
  4. Strong written and verbal communication skills; ability to document work and collaborate remotely.
  5. Experience with mobile devices and a high level of digital literacy.
  6. Physical capability to perform repetitive movement tasks safely and accurately.
  7. Access to a compatible smartphone for high-fidelity sensor and video data collection.
  8. Eligibility to work in designated U.S. states.
  9. Note: Applications submitted with a Gmail address are strongly preferred for seamless tool integration.


Compensation Structure

Compensation is output-based; experts are paid per recorded video that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow.


Start Timeline & Availability

We typically fill roles within 48 hours, so we’re looking for teammates who are ready to jump in. If selected, we’d love for you to start your first task as soon as you move forward with your application. The expectation is to begin within ~24 hours of completing onboarding.


Equipment Requirements

Mobile:

Tasks for this project must be performed from a mobile device (smartphone). Experts will record their workflow directly from the mobile device while completing tasks.


Head Strap / Wearable: Tasks for this project must be performed using a head-mounted camera (head strap setup). Experts will record first-person video of physical tasks. The required head strap and any accompanying equipment specifications will be shared during onboarding.

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