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Internship Ai Data Collection Jobs in Michigan (NOW HIRING)

Domino's

Data Scientist

Ann Arbor, MI · On-site

... AI) components of an in-house Store Development Mapping Platform (DMAP), creating test and ... Consult on data collection for new products to ensure all tracking is in place for future analysis.

TSMG

Data collector / Driver

Lansing, MI

Our field data collection teams are spread across Europe and North America, ready to accept new ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Domino's Corporate

Data Scientist

Ann Arbor, MI

... AI) components of an in-house Store Development Mapping Platform (DMAP), creating test and ... Consult on data collection for new products to ensure all tracking is in place for future analysis.

TSMG

Data collector / Driver

Saginaw, MI · On-site

Our field data collection teams are spread across Europe and North America, ready to accept new ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

FastTek

Data Engineer

Dearborn, MI

$105K - $126K/yr

Design, build and maintain reliable, efficient and scalable data infrastructure for data collection ... AI & Hiring Disclosure We use AI tools to support parts of our hiring process, such as reviewing ...

FastTek

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Design, build and maintain reliable, efficient and scalable data infrastructure for data collection ... Strong understanding of AI-assisted development tools, such as Gemini Code Assist, OpenCode, and ...

Stefanini

Google Cloud Platform Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

... for data collection, storage, transformation, and analysis.Plan, design, build, and maintain ... Strong understanding of AI-assisted development tools, such as Gemini Code Assist, OpenCode, and ...

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Internship Ai Data Collection information

What is an internship in AI data collection?

An Internship in AI Data Collection is a temporary, entry-level position where interns assist in gathering, organizing, and labeling data used to train artificial intelligence models. Interns may work with various data types, such as images, text, or audio, and help ensure data accuracy and quality. This role is essential in the AI development process, as high-quality data is crucial for building effective AI systems. Interns also gain hands-on experience with data management tools and learn about the ethical considerations of data handling.

What types of tasks can I expect to handle during an AI data collection internship?

As an AI Data Collection intern, you will typically work on gathering, labeling, and organizing large datasets that are used to train machine learning models. Your daily responsibilities may include annotating images or text, validating data quality, and assisting with data pre-processing tasks. You may also collaborate with data scientists and engineers to ensure data accuracy and integrity, and gain exposure to tools and processes commonly used in the AI industry. This hands-on experience is valuable for understanding the foundations of AI development and can open doors to more advanced roles in data science or machine learning.

What are the key skills and qualifications needed to thrive as an internship AI data collection specialist?

To thrive in an Internship AI Data Collection role, you need strong analytical skills, attention to detail, and foundational knowledge in data management or computer science. Familiarity with data labeling tools, spreadsheets, and possibly Python or SQL is beneficial, along with any coursework or certifications in data science or AI. Strong communication, organization, and problem-solving abilities help interns efficiently collaborate and ensure data accuracy. These skills are vital for producing high-quality datasets that enable effective AI model training and development.

What is the difference between Internship Ai Data Collection vs Data Analyst Intern?

AspectInternship Ai Data CollectionData Analyst Intern
Required CredentialsBasic knowledge of AI, data collection tools, and programmingBasic statistics, Excel, and data analysis skills
Work EnvironmentData collection, labeling, and preprocessing in tech or AI companiesData analysis, reporting, and visualization in various industries
Employer & Industry UsagePrimarily in AI, machine learning, and tech startupsAcross finance, marketing, healthcare, and tech sectors

Internship Ai Data Collection focuses on gathering and preparing data for AI models, while Data Analyst Interns analyze and interpret data to support business decisions. Both roles require foundational data skills but differ in their core activities and industry applications.

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

The most popular types of Ai Data Collection jobs in Michigan are:

What are popular job titles related to Internship Ai Data Collection jobs in Michigan?

For Internship Ai Data Collection jobs in Michigan, the most frequently searched job titles are:

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The top searched job categories for Internship Ai Data Collection jobs in Michigan are:

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Cities in Michigan with the most Internship Ai Data Collection job openings:

Internship Ai Data Collection jobs near you
Infographic showing various Internship Ai Data Collection job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Data Scientist

Domino's

Ann Arbor, MI • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 27 days ago

Domino's rating

4.8

Company rating: 4.8 out of 10

Based on 1,940 frontline employees who took The Breakroom Quiz

20th of 24 rated food delivery companies

Job description

Company Description
Domino's Pizza, which began in 1960 as a single store location in Ypsilanti, MI, has had a lot to celebrate lately: we're a reshaped, reenergized brand of honesty, transparency and accountability - not to mention, great food! In the rise to becoming a true technology leader, the brand is now consistently one of the top five companies in online transactions and 65% of our sales in the U.S. are taken through digital channels. The brand continues to deliver the dream' to local business owners, 90% of which started as delivery drivers and pizza makers in our stores. That's just the tip of the iceberg...or as we might say, one "slice" of the pie! If this sounds like a brand you'd like to be a part of, consider joining our team!
Job Description
Drive new store openings in our domestic and largest international markets by transforming large geospatial datasets into actionable insights. Build a strong knowledge of available internal and external data sources. Mine and synthesize across data sources to help address opportunities leveraging geospatial data and analytic techniques. Conduct analyses to address ad hoc requests of ongoing project work. Assist in developing the machine learning (ML) and artificial intelligence (AI) components of an in-house Store Development Mapping Platform (DMAP), creating test and measurement plans and executing those plans. Continually innovate and improve upon existing methodologies and products. Consult on data collection for new products to ensure all tracking is in place for future analysis. Manipulate and analyze large, complex geospatial datasets, ensuring data quality and accessibility for advanced analytics. Work in a fast-paced, challenging environment with opportunities for skill enhancement.
Responsibilities
  • Conducts data collection, cleaning, and preprocessing to prepare datasets for analysis.
  • Develops and implements basic statistical models and machine learning algorithms to address defined business problems.
  • Collaborates with cross-functional teams to understand data requirements and deliver actionable insights.
  • Documents methodologies, processes, and results to ensure reproducibility and knowledge sharing.
  • Monitors model performance and assists in maintaining data pipelines and analytical tools.

Job Tasks
  • Extracts and transforms data from multiple sources using standard querying and scripting techniques.
  • Builds and validates predictive models using established algorithms and frameworks.
  • Generates reports and visualizations to communicate findings to stakeholders.
  • Assists in troubleshooting data quality issues and refining data collection processes.
  • Participates in code reviews and applies feedback to improve analytical solutions.

Skills
  • Proficient in data manipulation and exploratory data analysis with attention to data quality.
  • Basic understanding of machine learning concepts and ability to apply standard algorithms.
  • Effective communication skills for presenting technical information to non-technical audiences.
  • Ability to work under general supervision while managing multiple routine tasks.
  • Familiarity with version control and collaborative development practices.
  • Experience with geospatial data analysis tools, including ArcGIS (arcpy), Pandas/GeoPandas, Geospatial SQL, etc

Qualifications
Software Application
  • Python for data analysis and modeling.
  • SQL for data extraction and manipulation
  • Experience with ArcGIS (arcpy) Required.
  • Data visualization tools such as Tableau, Power BI, or matplotlib/seaborn libraries.
  • Jupyter Notebooks or similar integrated development environments.
  • Version control systems such as Git.
  • Experience with Fast API creation (i.e. functional programming, automated testing, performance optimization techniques)
  • Experience applying algorithms to large-scale data (e.g. supervised/unsupervised, optimization/solver)
  • Experience with Geospatial data types

Physical Requirements
  • Primarily sedentary work involving extended periods of computer use. Occasional requirement to attend meetings or collaborate in team environments.

Years Of Experience
  • 1 to 3 years of professional experience in data science or related analytical roles.

Education
  • Completion of a degree in a quantitative field such as Computer Science, Statistics, Mathematics, Engineering, or a related discipline.

Additional Information
Benefits:
• Paid Holidays and Vacation
• Medical, Dental & Vision benefits that start on the first day of employment
• No-cost mental health support for employee and dependents
• Childcare tuition discounts
• No-cost fitness, nutrition, and wellness programs
• Fertility benefits
• Adoption assistance
• 401k matching contributions
• 15% off the purchase price of stock
• Company bonus
All your information will be kept confidential according to EEO guidelines.

What Domino's employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Domino's logo

About Domino's

Sourced by ZipRecruiter

Since 1960, we've grown from just one store to become the #1 pizza company in the world. To get there and continue to go above and beyond, it takes persistent passion, incredible vision, and bold thinking. It takes every one of our employees feeling like they have pizza sauce running through their veins. What's life like at Domino's Whatever your role at Domino’s, you’ll find life here is exciting, enormously fun, and always asks you to think on your feet. If you bring your passion, drive, and a purpose to perform, there are real growth opportunities across the brand. Many people find that what starts as a day job becomes a fulfilling career, surrounded by amazing people who make sure each new day tops the last. That’s what we mean by the power of possible. We are made better together In a Domino’s corporate job, our leaders work hard to create a level playing field where corporate team members can succeed, innovate, and above all, feel like they belong. See how different backgrounds make us better, and how your unique talents could power what’s possible in a Domino’s corporate career.

Industry

Food and beverage stores, real estate and food services and drinking places

Company size

10,000+ Employees

Headquarters location

Ann Arbor, MI, US

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