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Internship Ai Data Annotation Jobs in Michigan (NOW HIRING)

IBM

Associate Data Engineer 2027 - AI & Analytics

Lansing, MI · On-site

$59K - $60K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... or internships. * Ability to communicate technical findings and data-driven insights to both ... AI strategy to life for our clients and partners around the world. Restlessly reinventing since ...

IBM

Associate Data Engineer 2027 - AI & Analytics

Lansing, MI · On-site

$59K - $60K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... or internships. * Ability to communicate technical findings and data-driven insights to both ... AI strategy to life for our clients and partners around the world. Restlessly reinventing since ...

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 Annotation information

What is an AI data annotation internship?

An AI Data Annotation Internship is a temporary position where interns help label, tag, or categorize data (such as images, text, or audio) to train and improve artificial intelligence models. Interns typically work with datasets, ensuring that the information provided is accurate and consistent, which is crucial for machine learning algorithms to learn effectively. The role is a valuable entry point for those interested in AI, machine learning, or data science, as it offers hands-on experience with the foundational work needed to build intelligent systems.

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

To thrive as an Internship AI Data Annotation specialist, you need attention to detail, basic computer literacy, and a foundational understanding of data labeling concepts, often supported by ongoing training or coursework in data science or computer science. Familiarity with annotation tools like Labelbox, Supervisely, or VIA, and knowledge of data management platforms are commonly required. Strong organizational skills, patience, and effective communication help you manage repetitive tasks and collaborate with team members. These skills are essential to ensure high-quality data labeling, which directly impacts the performance and accuracy of AI models.

What are the typical challenges faced during an AI data annotation internship, and how can I overcome them?

As an AI Data Annotation intern, you may encounter challenges such as maintaining high accuracy while labeling large volumes of data, understanding complex annotation guidelines, and adapting to evolving project requirements. It's important to regularly communicate with your team lead or project manager to clarify any uncertainties and ensure consistency in your annotations. Leveraging available training materials and asking for feedback will help you improve your efficiency and accuracy, turning these challenges into valuable learning experiences.

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

AspectInternship Ai Data AnnotationData Labeler
CredentialsHigh school diploma or equivalent; some roles prefer basic technical skillsHigh school diploma or equivalent; minimal formal education required
Work EnvironmentOffice or remote; supervised tasks, often part-time or temporaryOffice or remote; repetitive tasks, often entry-level
Industry UsageTech companies, AI startups, research projectsTech firms, data companies, AI development teams
Search & Comparison IntentUnderstanding entry-level roles in AI data annotationComparing entry-level data labeling jobs in AI

Internship Ai Data Annotation roles typically involve supervised, short-term tasks aimed at gaining experience in AI data preparation. Data Labeler positions are similar entry-level roles focused on labeling data for machine learning. Both roles require basic skills and are used across tech and AI industries, but internships often offer more training and learning opportunities.

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:

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Internship Ai Data Annotation jobs near you

English-Spanish Bilingual Speaker - Voice Recording (Remote)

Mindrift - Data annotation

Grand Rapids, MI • Remote

$10.50 - $12/hr

Part-time

Posted 3 days ago

New

Job description

This is a project-based opportunity on an AI training platform - not a job. No fixed hours, no commitment beyond what fits your schedule. You talk, you get paid.

About the Role

We're looking for bilingual speakers to record short, casual voice clips where they naturally mix English with Spanish - the way they'd actually talk in real life. No script, no scenarios, just you talking about your day, your opinions, whatever comes naturally.

Do you switch between English and Spanish mid-sentence without even thinking about it? Rant about your day, discuss your favorite show, think out loud with different languages - say it exactly how you'd say it to a friend. What if you could get paid just for recording it?

Responsibilities

  • Record 1-2 minute voice clips responding to a prompt or reacting to a short video
  • Speak naturally, switching between English and Spanish the way you normally would in everyday conversation
  • Complete a few clips per recording session

Requirements

  • Language: Fully bilingual - fluent or native in both English and Spanish, and someone who naturally mixes the two when speaking
  • Equipment: Any device works, including your phone - no studio or special equipment needed
  • Recording environment: A quiet room with no background music, TV, traffic, or other people talking
  • Audio quality: Clear voice, close to the mic, one speaker only, no echo. A headset or earbuds with a mic helps but isn't required
  • Note: Quiet, clean audio matters most - background noise or unclear speech can affect approval

Why is this freelance opportunity a great fit for you?

  • Get paid to talk - no perfect grammar, no formality: up to $5 per hour equivalent depending on the project
  • Do it from your couch, your phone, wherever's comfortable
  • Flexible, from home, paid per approved recording
  • If you naturally mix Spanish and English when you speak, you're exactly who we're looking for

Apply