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Intern Data Annotation Tech Jobs in Michigan (NOW HIRING)

Android Industries

Human Resources Intern

Auburn Hills, MI · On-site

$14.25 - $19/hr

Data audits and clean up * Track and communicate status of assigned tasks and projects * Create HR ... Experience using technology and teaching others how to use technology * Previous work experience ...

fng

Engineering Intern

Troy, MI

$16 - $20.50/hr

... data collection and analysis, developing standardized work instructions, line balancing, process ... Apply knowledge of engineering science and technology * Identify problems, develop and evaluate ...

fng

Engineering Intern

Troy, MI

$16 - $20.50/hr

... data collection and analysis, developing standardized work instructions, line balancing, process ... Apply knowledge of engineering science and technology * Identify problems, develop and evaluate ...

fng

Engineering Intern

Troy, MI

$16 - $20.50/hr

... data collection and analysis, developing standardized work instructions, line balancing, process ... Apply knowledge of engineering science and technology * Identify problems, develop and evaluate ...

Magna

Engineering Intern - Summer 2026

Holland, MI · On-site

$16 - $20.75/hr

The Mechatronics, Mirrors and Lighting group specializes in automotive technologies that are ... This role provides hands-on experience in project coordination, technical documentation, data ...

Magna

Engineering Intern - Summer 2026

Holland, MI

$16 - $20.75/hr

The Mechatronics, Mirrors and Lighting group specializes in automotive technologies that are ... This role provides hands-on experience in project coordination, technical documentation, data ...

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All JobsIntern Data Annotation Tech JobsIntern Data Annotation Tech Jobs in Michigan

Intern Data Annotation Tech information

Is data annotation real or fake?

Data annotation is a real and essential process in machine learning where human annotators label data such as images, text, or audio to train AI models. Interns in data annotation roles perform tasks like tagging and categorizing data using specialized tools, contributing to the development of accurate AI systems.

What are some common challenges faced by Intern Data Annotation Techs, and how can they overcome them?

Intern Data Annotation Techs often encounter challenges such as maintaining consistency in labeling large datasets and understanding nuanced instructions for annotation tasks. To overcome these hurdles, it's important to ask clarifying questions early on, regularly review annotation guidelines, and participate in team discussions about edge cases. Collaboration with more experienced annotators and feedback from supervisors also help in refining skills and ensuring high-quality data preparation. Developing attention to detail and adaptability will contribute to a successful internship experience.

Does data annotation tech really pay?

Data annotation technicians typically earn hourly wages that vary by experience and location, with entry-level positions often paying minimum wage or slightly above. The pay can increase with skill development, familiarity with annotation tools, and the complexity of the data being labeled. Overall, data annotation jobs provide a modest income but are generally not high-paying roles.

What is the difference between Intern Data Annotation Tech vs Intern Data Labeler?

AspectIntern Data Annotation TechIntern Data Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentData annotation platforms, remote or officeData labeling platforms, remote or office
Industry UsageAI, machine learning, data scienceAI, machine learning, data science
Job FocusAnnotating data for training AI modelsLabeling data for machine learning algorithms

Both roles involve preparing data for AI systems, with similar skills and work environments. The main difference lies in terminology; 'Data Annotation Tech' emphasizes technical annotation tasks, while 'Data Labeler' is a more general term. Both are entry-level positions vital for training AI models in the tech industry.

What is a data annotation intern?

A data annotation intern is a temporary position where individuals label or categorize data, such as images, text, or videos, to help train machine learning models. The role typically involves using annotation tools and requires attention to detail to ensure data accuracy, often under supervision or with specific guidelines.

Is data annotation tech still hiring?

Data annotation technician roles are currently in demand as companies expand AI and machine learning projects. These positions often require attention to detail and familiarity with annotation tools, and they are available in various industries including tech, healthcare, and automotive. Hiring trends indicate steady opportunities for entry-level and remote data annotation jobs.

What are Intern Data Annotation Techs?

Intern Data Annotation Techs are entry-level professionals, often students or recent graduates, who support machine learning projects by labeling and categorizing data, such as images, text, or audio. Their work is essential for training AI systems, as accurately annotated data helps algorithms learn to make correct predictions. These interns typically use specialized software tools to tag or classify data according to specific guidelines. The role requires attention to detail, consistency, and sometimes basic technical skills, depending on the complexity of the data and tasks. Internships in data annotation can provide valuable exposure to the fields of artificial intelligence and data science.

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

To thrive as an Intern Data Annotation Tech, you need attention to detail, basic data management skills, and familiarity with data labeling concepts, often supported by a high school diploma or ongoing college coursework. Experience with annotation platforms, spreadsheet tools, and sometimes basic scripting languages is helpful. Strong communication, reliability, and the ability to follow detailed instructions are valuable soft skills in this role. These abilities ensure accurate and efficient data labeling, which is critical for training reliable machine learning models.
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Intern Data Annotation Tech jobs near you
Human Resources Intern

Human Resources Intern

Android Industries

Auburn Hills, MI • On-site

$14.25 - $19/hr

Internship

Posted 14 days ago

Job description

Human Resources Intern

We have an opportunity for a Human Resources Intern at our Auburn Hills location, starting immediately.

Primary Job Responsibilities

  • Data audits and clean up
  • Track and communicate status of assigned tasks and projects
  • Create HR Team Calendar of of all scheduled tasks/projects in a year
  • Work with managers of various levels to develop job descriptions for the standardized position titles within the company
  • Analyze HR data
  • HRIS (Ceridian Dayforce) related duties
  • Participate in Company's communications team
  • Assist with staffing/hiring process using ATS (Ceridian Dayforce)
  • Partner with hiring managers to determine staffing needs
  • Provide support in various Human Resources functional areas to plant locations
  • Assist on miscellaneous HR tasks
  • All other duties as assigned

Expectations

  • Must be self-motivated and able to work independently
  • Effective interpersonal, verbal/written communication skills
  • Highly organized, analytical, and detail-oriented
  • Must be able to manage multiple tasks and follow deadlines
  • Expected workload: 40 hours per week, willing to be flexible around school schedule/availability of qualified candidate

Qualifications and Experience

  • Must be currently enrolled in an accredited university
  • Minimum of one year or equivalent in an accredited college pursuing a Bachelor's Degree, preferably in Human Resources, Business Management, or related field
  • Minimum cumulative GPA average of 3.0 on a 4.0 scale
  • Experience using technology and teaching others how to use technology
  • Previous work experience preferred
  • Highly proficient in Microsoft Office suite

Traits/Values

  • Hope: The quality of possessing and adhering to positive, optimistic expectation of future events.
  • Trust: Confidence in one another.
  • Compassion: The quality of an understanding of another's challenges.
  • Justice: Concern for fairness.
  • Wisdom: The quality of having good, sound judgement.
  • Courage: Strength in the face of adversity.

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