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Cataloging Intern Jobs in Indiana (NOW HIRING)

Cataloging Intern information

How much do library interns get paid?

Library interns typically earn between minimum wage and $15 per hour, depending on the institution, location, and level of experience. Some internships may be unpaid or offer stipends, especially for academic credit or volunteer positions. Compensation varies widely based on the organization and whether the internship is paid or unpaid.

How to become a library assistant with no experience?

To become a library assistant with no experience, focus on developing organizational and customer service skills, and consider volunteering or gaining experience in library settings. Some positions may require a high school diploma or equivalent, and familiarity with cataloging software or library systems can be helpful. Entry-level roles often provide on-the-job training for new hires.

What is the difference between Cataloging Intern vs Library Assistant?

AspectCataloging InternLibrary Assistant
Required CredentialsHigh school diploma or ongoing college coursework; familiarity with cataloging systemsHigh school diploma; basic customer service skills
Work EnvironmentLibraries, archives, or museums; focus on cataloging and metadataPublic or academic libraries; assisting patrons and managing collections
Employer & Industry UsageEducational institutions, archives, museumsPublic, academic, or special libraries
Common Search & Comparison IntentUnderstanding entry-level cataloging rolesAssisting library operations and patron services

The main difference is that a Cataloging Intern primarily focuses on organizing and cataloging collections, often as part of an internship or training program, while a Library Assistant handles broader library operations, including patron assistance and collection management. Both roles are entry-level and often found in similar environments, but their core responsibilities differ.

What are some typical projects or tasks a Cataloging Intern might work on during their internship?

As a Cataloging Intern, you can expect to assist with organizing and entering bibliographic information into library management systems, processing new acquisitions, and updating records for existing materials. You may also help with quality control by verifying metadata accuracy and ensuring that items are classified correctly according to established standards. Collaboration with librarians and archivists is common, providing valuable exposure to cataloging tools, classification systems like Dewey Decimal or Library of Congress, and real-world workflows in library settings.

What jobs to give an intern?

A cataloging intern typically assists with organizing and maintaining library or archive collections, which may include tasks like data entry, cataloging items using library management software, and verifying records. They often work under supervision and may gain experience with classification systems such as Dewey Decimal or Library of Congress. The role usually requires attention to detail and basic computer skills.

What does a Cataloging Intern do?

A Cataloging Intern assists with organizing, classifying, and maintaining records of books, media, or other materials in libraries, museums, or archives. Their responsibilities typically include entering data into cataloging systems, ensuring items are accurately described, and sometimes helping with physical processing of materials. This role offers valuable hands-on experience in information management and is ideal for students or recent graduates interested in library and information science or archival work.

What is a catalogue intern?

A cataloguing intern is a position where an individual assists with organizing, classifying, and maintaining collections of items such as books, artworks, or digital assets. The role often involves using cataloging standards and database tools to ensure accurate and accessible records. It provides practical experience in library, archive, or collection management environments.

What are the key skills and qualifications needed to thrive as a Cataloging Intern, and why are they important?

To thrive as a Cataloging Intern, you need attention to detail, organizational skills, and a foundational understanding of library science or information management, often supported by coursework or enrollment in an MLIS program. Familiarity with cataloging standards like MARC, RDA, and library catalog systems such as OCLC or Integrated Library Systems (ILS) is typically expected. Strong analytical thinking, communication, and a willingness to learn help you adapt to evolving tasks and collaborate with library staff. These skills ensure accurate resource organization, efficient retrieval, and a smooth workflow within library environments.
What are the most commonly searched types of Cataloging jobs in Indiana? The most popular types of Cataloging jobs in Indiana are:
Machine Learning Engineer (PhD Intern)

Machine Learning Engineer (PhD Intern)

Instacart

Gary, IN • On-site

Other

Posted 7 days ago


Instacart rating

7.1

Company rating: 7.1 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

28th of 64 rated delivery companies


Job description

We're transforming the grocery industry

At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.

Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.

Instacart is a Flex First team

There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events.

Overview

Since 2012, Instacart has been focused on making grocery delivery convenient, affordable, and accessible to everyone. We bring fresh groceries and everyday essentials to customers across the US and Canada from nearly 55,000 stores across 5,500 markets. Our mission is to create a world where everyone has access to the food they love, and to achieve that goal, we innovate in a wide range of areas including e-commerce, advertising, and fulfillment.

We use machine learning and Internet-scale data to elevate customer experience, improve efficiency, and reduce cost. As an example, we manage catalog data imported from hundreds of retailers, and we build product and knowledge graphs on top of the catalog data to support a wide range of applications including search and ads.

We are looking for talented Ph.D. students to have an internship in our fast moving team. You will have the opportunity to work on a very large scope of problems in search, ads, personalization, recommendation, fulfillment, product and knowledge graph, pricing, etc.

About the Team:

This is a general posting for multiple intern roles open across our various ML teams. You can find a blurb on each team below:

Economics Team: The Economics team at Instacart works on a range of interesting and challenging problems, from aligning the incentives in our multi-sided marketplace to analyzing the role of prices and product placement in our customers' decision-making. Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference.

Search & Discovery ML: The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search technology at Instacart. They collaborate on building models that enhance relevance of all shopping surfaces, ranking, and personalization, delivering highly relevant results to users across the Instacart ecosystem. As part of the Search and Discovery ML team, you'll work on one of the most critical aspects of the business, helping customers connect with the right products. We are passionate about solving large-scale search challenges and creating innovative solutions that elevate the customer experience. (Recent publications 1, 2, 3, 4, 5).

Content AI Team: The Content AI team at Instacart works alongside world-class engineers, data scientists, and product managers to advance generative AI, recommendations, and catalog intelligence in grocery ecommerce. We build cutting-edge AI models that power real-time recommendations, feed ranking, and automated content generation, ensuring high-quality and engaging customer experiences. Beyond recommendations, we leverage generative AI and LLMs to enhance and enrich Instacart’s catalog, driving AI-powered product understanding and content creation at scale. As part of Content AI, you'll work on high-impact AI solutions, applying LLMs, agentic systems, and computer vision to tackle complex challenges. We are passionate about pushing the boundaries of generative AI to shape the future of ecommerce. If you're excited about building state-of-the-art AI systems, we’d love to have you on board!

Past internship contributions include:

Tensor-based complementary recommendations, published at IEEE Big Data 2021 (Paper) Enhancing sequence-based recommendations for long-tail products (Blog)

About the Job

Based on your passion and background, you may choose to work in a few different areas:

  • Query understanding - Using cutting-edge NLP technologies to understand the intent of user queries.
  • Search relevance and ranking - Improving search relevance by incorporating signals from various sources.
  • Ads quality, pCTR, etc. - Improving ads revenue and ROAS.
  • Knowledge graphs - Working on graph data management and knowledge discovery, and creating a natural language interface for data access.
  • Fraud detection and prevention - Using cost sensitive learning to reduce loss.
  • Pricing - Estimating willingness-to-pay, and optimizing revenue and user experience.
  • Logistics - Optimization in a variety of situations, including supply/demand prediction, last mile delivery, in-store optimization, etc.

About You

Minimum Qualifications:

  • Ph.D. student in computer science, mathematics, statistics, economics, or related areas.
  • Strong programming (Python, C++) and algorithmic skills.
  • Good communication skills. Curious, willing to learn, self-motivated, hands-on.

Preferred Qualifications:

  • Ph.D. student at a top tier university in the United States
  • Prior internship/work experience in the machine learning space

Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here.

Offers may vary based on many factors, such as candidate experience and skills required for the role.


What Instacart employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Instacart logo

About Instacart

Sourced by ZipRecruiter

Instacart, based in San Francisco, CA, US, operates within the retail industry, specifically grocery delivery and pick-up service. It is recognized as a pioneer in this field, delivering fresh groceries from local stores directly to customers' doors. The company, which launched its services in 2012, continues to pioneer change in the online grocery shopping sector through its commitment to cutting-edge technology, new business ideas, and dedicated service.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

2012