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Internship Data Labeling Jobs in Michigan (NOW HIRING)

... labels/encryption, DLP policies, data classification/discovery, Insider Risk Management ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

Prepare, review, and audit all data entry for month-end closing. Prepare month-end inventory report ... Handle FedEx tasks, including perparing shipping labels, receiving incoming packages, and ...

Prepare, review, and audit all data entry for month-end closing. * Prepare month-end inventory ... Handle FedEx tasks, including perparing shipping labels, receiving incoming packages, and ...

Prepare, review, and audit all data entry for month-end closing. Prepare month-end inventory report ... Handle FedEx tasks, including perparing shipping labels, receiving incoming packages, and ...

Flex Clinical Pharmacist

Brighton, MI · On-site

$113K - $135K/yr

General understanding of computers, including general operations and data retrieval. * Commitment ... technicians, interns, and students in preparation, packaging, labeling and distribution of ...

Flex Clinical Pharmacist

Brighton, MI · On-site

$113K - $135K/yr

General understanding of computers, including general operations and data retrieval. * Commitment ... technicians, interns, and students in preparation, packaging, labeling and distribution of ...

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Internship Data Labeling information

What is an internship in data labeling?

An internship in data labeling involves assisting in the process of categorizing and annotating data, such as images, text, or audio, to help train machine learning models. Interns typically use specialized software to tag or classify data according to specific guidelines provided by the company or research team. This role is crucial for developing accurate artificial intelligence systems, as high-quality labeled data improves model performance. Data labeling internships are a great way to gain practical experience in the AI and machine learning field and learn more about data preprocessing workflows.

What types of tasks can I expect to handle daily as a data labeling intern?

As a Data Labeling Intern, your daily tasks typically include reviewing and accurately tagging data such as images, audio, or text according to specific guidelines provided by the company or project. You may use specialized annotation tools and work closely with data scientists, engineers, or QA teams to ensure high-quality, consistent labeling. Attention to detail is crucial, as your work directly impacts the performance of machine learning models. You might also participate in periodic team meetings to discuss challenges, clarify instructions, and receive feedback to improve labeling accuracy.

What are the key skills and qualifications needed to thrive as a data labeling intern, and why are they important?

To excel in an Internship Data Labeling role, you need strong attention to detail, basic analytical skills, and proficiency with data entry or spreadsheet tools, often supported by a high school diploma or current university enrollment. Familiarity with labeling platforms, annotation tools, and sometimes basic programming or database systems is beneficial. Reliability, communication, and the ability to follow instructions precisely are key soft skills for standing out in this position. These skills ensure data accuracy and consistency, which are crucial for developing reliable AI and machine learning models.

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

AspectInternship Data LabelingData Labeling Specialist
CredentialsTypically students or entry-level with basic skillsRelevant experience or certifications in data annotation
Work EnvironmentInternship programs, often in tech or AI companiesFull-time or freelance roles in data annotation firms or tech companies
Industry UsageUsed as training or entry-level positionProfessional role with ongoing responsibilities
Search & Comparison IntentUnderstanding entry-level opportunities and trainingClarifying professional roles and career progression

Internship Data Labeling is an entry-level position designed for students or beginners gaining experience in data annotation. In contrast, Data Labeling Specialist is a professional role requiring prior experience or certifications, with more responsibility and independence. Internships serve as training grounds, while specialists handle ongoing data labeling tasks in a professional setting.

What are the most commonly searched types of Data Labeling jobs in Michigan?

The most popular types of Data Labeling jobs in Michigan are:

What cities in Michigan are hiring for Internship Data Labeling jobs?

Cities in Michigan with the most Internship Data Labeling job openings:

Infographic showing various Internship Data Labeling job openings in Michigan as of June 2026, with employment types broken down into 17% As Needed, 66% Full Time, and 17% Part Time. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution.

Data Protection, A/SA-Evergreen

Accenture

Detroit, MI • On-site

$84K - $100K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

47th of 492 rated business services


Job description

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data governance, and privacy solutions for Avanade clients. You'll work under the guidance of senior team members to help design, implement, and operate data protection capabilities while building strong foundational skills in security, compliance, and client delivery.

What you'll do
  • Support client engagements focused on data protection, data governance, and compliance initiatives.

  • Assist with configuration and administration of Microsoft Purview capabilities (e.g., sensitivity labels/encryption, DLP policies, data classification/discovery, Insider Risk Management).

  • Participate in requirements gathering, workshops, and documentation efforts.

  • Execute assigned tasks within project plans and contribute to on-time, high-quality delivery.

  • Develop technical documentation, configuration guides, and client-ready deliverables.

  • Actively pursue learning, certifications, and hands-on experience in data protection technologies.

  • Contribute to emerging areas such as AI and agentic AI security, under guidance.

.

Qualifications

  • 2+ years of relevant experience.

  • Degree in Information Technology, Cybersecurity, Computer Science, or related field (or equivalent experience).

  • Exposure to Microsoft 365 or Azure environments preferred.

  • Prior internship, academic project, or entry-level experience in security or compliance is a plus.

  • Microsoft security-related certifications strongly preferred (e.g., SC-900, AB-900, AI-901).

Compensation at Avanade varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Avanadeprovidesa reasonable range of compensation for roles that may be hired as set forth below.

Weanticipatethis job posting will be posted until 8/31/2026.

Avanade offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off.

See more information on our benefits here:Benefits and Total Rewards | Avanade United States

Role Location Annual Salary Range

California $84,800to $100,700

Cleveland $76,000to $90,250

Colorado $76,000to $90,250

District of Columbia $88,000to $104,500

Illinois$84,800to $100,700

Maine $76,000to $90,250

Maryland $88,000to $104,500

Massachusetts $88,000to $104,500

Minnesota $84,800to $100,700

New York $92,800to $110,200

New Jersey $84,800to $100,700

Virginia $84,800to $100,700

Washington $88,000to $104,500

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