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Indexing Jobs (NOW HIRING)

VRC

Indexing Clerk Mon-Fri 8am-4:30pm

Hudson, NH · On-site

$15.75 - $19.50/hr

Job Type Full-time Description Purpose The primary role of the Indexing Clerk at VRC Companies, LLC ("Company") is to assist in the preparation and scanning of documents for imaging. Imaged documents ...

S&P Global, Inc.

Index Analyst

New York, NY · On-site +1

$83K - $104K/yr

The Index Analyst is responsible for maintaining a wide range of indices. The Index Analyst is required to ensure that the indices are managed in accordance with their methodology, perform routine ...

S&P Global

Index Analyst

Manhattan, NY · On-site

$83K - $104K/yr

The Index Analyst is responsible for maintaining a wide range of indices. The Index Analyst is required to ensure that the indices are managed in accordance with their methodology, perform routine ...

S&P Global

Index Analyst

New York, NY · On-site

$83K - $104K/yr

The Index Analyst is responsible for maintaining a wide range of indices. The Index Analyst is required to ensure that the indices are managed in accordance with their methodology, perform routine ...

VRC

Indexing Clerk Mon-Fri 8am-4:30pm

Hudson, NH · On-site

$15.75 - $19.50/hr

Job Type Full-time Description Purpose The primary role of the Indexing Clerk at VRC Companies, LLC ("Company") is to assist in the preparation and scanning of documents for imaging. Imaged documents ...

VRC

Indexing Clerk Mon-Fri 8:00am-5:00pm

Knoxville, TN · On-site

$13.50 - $16.75/hr

Job Type Full-time Description Purpose The primary role of the Indexing Clerk at VRC Companies, LLC ("Company") is to assist in the preparation and scanning of documents for imaging. Imaged documents ...

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Indexing information

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$10

$19

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How much do indexing jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for indexing in the United States is $19.02, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $21.39 per hour, depending on experience, location, and employer.

What are some common challenges faced by indexing professionals, and how can they be addressed?

Indexing professionals often encounter challenges such as managing large volumes of data, maintaining accuracy under tight deadlines, and adapting to evolving indexing standards or software. To address these, it’s important to develop strong organizational skills, stay updated with industry guidelines, and become proficient in the latest indexing tools. Regular communication with editors and subject matter experts also helps ensure that the index meets the needs of the target audience and maintains high quality.

What are the key skills and qualifications needed to thrive as an Indexer, and why are they important?

To thrive as an Indexer, you need strong attention to detail, excellent language and analytical skills, and typically a background in library science or information management. Familiarity with indexing software (such as CINDEX or SKY Index), taxonomies, and metadata standards is often required. Strong organizational abilities, time management, and the capacity to interpret complex information are essential soft skills. These competencies ensure the creation of accurate, user-friendly indexes that enhance information retrieval and usability for end users.

What is indexing and what does an indexer do?

Indexing is the process of creating organized listings or databases to help users quickly locate information within books, articles, databases, or digital content. An indexer analyzes text or data and identifies key topics, names, and concepts, then creates an index or tagging system that makes retrieval easy and efficient. Indexers may work with printed publications, library catalogs, databases, or online platforms, and their work is crucial for effective information management and discovery.

What is the difference between Indexing vs Cataloging?

AspectIndexingCataloging
CredentialsTypically requires library science or information science degreesOften requires similar degrees, with emphasis on classification systems
Work EnvironmentLibraries, archives, digital databasesLibraries, museums, archives, digital repositories
PurposeOrganize information for quick retrievalCreate detailed records for identification and classification
Common UsageIndexing is used for search optimization and quick accessCataloging is used for detailed record-keeping and classification

Indexing and cataloging are related but distinct roles in information management. Indexing focuses on creating searchable entries for quick retrieval, while cataloging involves detailed classification and record creation for comprehensive organization. Both are essential in library and information sciences, often overlapping in skills and environment.

More about Indexing jobs
What cities are hiring for Indexing jobs? Cities with the most Indexing job openings:
What are the most commonly searched types of Indexing jobs? The most popular types of Indexing jobs are:
What states have the most Indexing jobs? States with the most job openings for Indexing jobs include:
What job categories do people searching Indexing jobs look for? The top searched job categories for Indexing jobs are:
Indexing jobs near you
Infographic showing various Indexing job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $39,553 per year, or $19 per hour.
Machine Learning Engineer, Web Indexing Team

Machine Learning Engineer, Web Indexing Team

Apple

Santa Clara, CA • On-site

Full-time

Posted 21 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 667 frontline employees who took The Breakroom Quiz

5th of 30 rated technology retailers

Job description

Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.
Do you want to make Siri and Apple products smarter for our users? The MLPT & Infrastructure teams are building groundbreaking technology for algorithmic search, machine learning, natural language processing, and artificial intelligence. The features we build are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. Our universal search engine powers search features across a variety of Apple products, including Siri, Spotlight, Safari, Messages, and Lookup.
As part of this group, you will work within one of the most exciting high-performance computing environments, with petabytes of data and millions of queries per second, and have the opportunity to imagine and build products that delight our customers every single day.
Description
We design and build infrastructures to support features that empower billions of Apple users through advanced intelligence systems. Our team processes trillions of links to find the best content to surface to users via search and other intelligent features. We also analyze pages to extract critical features for indexing, ranking, and retrieval. We apply statistical analysis to enhance link selection, content freshness, retrieval rates, and extraction quality, among many other aspects. Furthermore, we are building a generic Retrieval-Augmented Generation (RAG) indexing infrastructure framework to allow indexing building customization and support fast experiment iteration. You'll have the opportunity to dive deeper into RAG systems, as well as large-scale data processing, managing trillions of records, petabytes of data, and the incredible complexity behind Apple Intelligence's products.
Minimum Qualifications
7+ years of software engineering experience, with a strong focus on large-scale distributed systems or infrastructure
Strong coding proficiency in one or more languages (e.g., Python, Java, Go, C++)
Solid foundation in computer science fundamentals including algorithms and data structures
Hands-on experience with large-scale data processing and MapReduce-style frameworks (e.g., Spark, Hadoop)
Experience with cloud services, particularly AWS (S3, EC2, EKS) and/or Kubernetes-based orchestration
Proven ability to operate independently and drive projects end-to-end in a collaborative team environment
MS or PhD in Computer Science or a related field, or equivalent practical experience
Preferred Qualifications
10+ years of software engineering experience, with demonstrated impact at a senior or staff level
Experience designing and building RAG systems or other AI/ML indexing pipelines
Background in machine learning, natural language processing, or information retrieval
Experience managing systems operating at petabyte scale with trillions of records
Strong communication skills with a track record of influencing technical direction across teams
MS or PhD in Computer Science or a related field, or equivalent practical experience

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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